Introduction
Investigation of speech input to children has continued to receive research attention for both theoretical and applied reasons. The role of ‘nature - nurture’ in child development has been of great interest to theories of language acquisition (Keating, Reference Keating2011). This question is often evaluated in terms of how much of language skill is innately specified compared with conceptualizations of language learning through child motor maturation and perceptually based ambient language exposure. Thus, investigation of speech and language input has been used as an important tool to parse the roles of ‘nature’ and ‘nurture.’ Investigation of speech register is also necessary because it supports understanding of applied questions; how can child language teachers and speech-language pathology practitioners intervene effectively with children whose language development is not appropriate to their chronological age expectations to support improvement in their speech and language skills. Understanding of the role of speech and language input can enable practitioners to tailor appropriate input to optimize children’s language development toward developmental age expectations.
Contemporary research suggests that the frequency of segments or phonological sound classes in speech input is a significant aspect of child speech development (e.g., Ingram, Reference Ingram1989; Stokes & Wong, Reference Stokes and Wong2002; Tsurutani, Reference Tsurutani2007; Van Severen et al., Reference Van Severen, Gillis, Van Den Berg, De Maeyer and Gillis2013). In perception studies, infants and young children have been shown to use statistical learning strategies to extract segmental patterns from speech input occurring in their ambient language (e.g., Saffran et al., Reference Saffran, Aslin and Newport1996). In production studies, Japanese- and Korean-learning children produced higher frequencies of dorsal than coronal stops, consistent with the higher frequencies of dorsal than coronal stops in the Japanese and Korean languages, respectively (Beckman et al., Reference Beckman, Yoneyama and Edwards2003; Lee et al., Reference Lee, Davis and MacNeilage2010). Although previous researchers commonly assumed that speech input frequency might affect children’s perception and production development, the nature of the frequency of phonological sound classes in speech input has not been fully examined.
Differences in frequencies of phonological sound classes between speech registers
Two opposite findings have been reported among the few studies examining the frequency of phonological sound classes in speech input. Lee et al. (Reference Lee, Davis and MacNeilage2008) examined the frequency of phonological sound classes of speech input to Korean children. Data were analyzed in terms of phonological manner and place classes. In Korean (Hur, Reference Hur1985), the stop class consists of three bilabial plosives (/p, p’, pʰ/), three alveolar plosives (/t, t’, tʰ/), and three velar plosives (/k, k’, kʰ/). The affricate class also comprises three phonemes (/tʃ, tʃ’, tʃ ʰ/). The three-way distinctions called lenis, fortis, and aspirated are unique aspects of Korean stops and affricates. Unlike stops and affricates, the fricative class includes only lenis and fortis (/s, s’/) and glottal /h/. Sonorant sounds include lateral /l/, glide (/w, j/), and three nasals (/m, n, ŋ). Similar to English, the velar nasal is only permitted at the coda position. Consonant place classes are labial (/ m p p’ pʰ w/), coronal (/n t t’ tʰ s’ s j r l tʃ, tʃ’, tʃ ʰ/), dorsal (/ŋ k k’ kʰ/), and glottal (/h/). The seven Korean monophthongal vowels were analyzed in terms of vowel height and front/back dimensions including high-front (/i/), mid-front (/e/ or /ɛ/), high-central (/ɨ/), mid-central (/ʌ/), low-central (/a/), high-back (/u/), and mid-back vowel (/o/).
Lee et al. (Reference Lee, Davis and MacNeilage2008) found that the frequency of consonant and vowel sound classes was significantly different between speech to adults (hereafter, adult-directed speech, ADS) and speech to infants (hereafter, infant-directed speech, IDS). It should be noted that IDS is also termed speech to children (CDS) in the available literature. Thus, IDS or CDS are considered as the same throughout; terminology is reported consistent within each study addressed here.
Lee and Davis (Reference Lee and Davis2010) replicated their methodology with English IDS in order to evaluate whether Korean patterns are universal or language-specific relative to English language findings. Lee and Davis (Reference Lee and Davis2010) collected data from 20 participants (10 ADS and 10 IDS participants). Participants were asked to speak to either their 12-month-old child or another adult for 20 minutes using the same four stimuli sets for both groups (i.e., dog and pig, car and truck, house and family members, and toy foods). One thousand syllables from each participant were selected for analysis. The transcribed data were analyzed in terms of consonant manner classes. In English, manner classes included stop /b p d t g k/, nasal /n m ŋ/, fricative /f v ð θ s z ʃ ʒ h/, affricate /tʃ dʒ/, glide /w j/ and liquid /r l/. Vowels were analyzed in terms of eight categories including 11 monophthongs (high-front /i ɪ /, mid-front /e ɛ/, low-front /æ/, mid-central /ə ʌ/, high-back /u ʊ/, mid-back/o ɔ/, and low-back /ɑ/), and three phonemic diphthongs (/aɪ/, /aʊ/ and /ɔɪ/). The authors found similar results to those found for Korean. Specifically, more stops and glides were produced in English IDS than in ADS. In contrast, more fricatives, affricates, and liquids were used in English ADS than in IDS. In terms of vowels, more high-back vowels were produced in English IDS than in ADS.
English and Korean frequencies of phonological sound classes in speech input were also found to be different between IDS and ADS in Japanese (Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014). Similar to Lee and colleagues (Reference Lee, Davis and MacNeilage2008, Reference Lee, Davis and MacNeilage2010), Tsuji et al. analyzed Japanese consonants and vowels in terms of phonological sound classes. According to the authors, consonant manner classes included stop (/b p, d, t, g, k/), fricative (/ɸ, v, s, z, ʃ, ʒ, ç, h/), affricate (/ts, ʧ, dʒ/), nasal (/m, n, ɲ, ŋ, ɴ/), glide (/w, j/), and liquid (/r/). Consonant place classes are composed of labial (/p, b, ɸ, v, m/), coronal (/t, d, s, z, ʒ, ʃ, ç, ts, tʃ, dʒ, n, ɲ, j, ɾ/), and dorsal (/k, g, h, ŋ/). Vowels are also categorized as high-front (/i, ii/), mid-front (/e, ee/), low-central (/a, aa/), high-back (/u, uu/), mid-back (/o, oo/). Japanese vowels have a phonemic length contrast (i.e., short and long).
Twenty-two Japanese mothers whose children were ages 1 year and 6 months (1;6)-2;0 participated. IDS and ADS speech was obtained when each mother interacted with her child (IDS) or with an adult (ADS), respectively. Speech samples were obtained for 30-minute period using books and toys. Samples were analyzed from running speech as well as the word-initial sounds of content words (i.e., word-initial samples). The frequency of consonants observed was different between the two types of analyses. In terms of word-initial samples, significantly more stop and labial sound classes were produced in IDS than in ADS. In contrast, the word-initial samples showed significantly fewer occurrences of coronal place as well as fricative and glide manner classes. In the running speech samples, significantly more labial and affricate sound classes and fewer coronal sound classes were found in IDS than in ADS. High front and low central vowels were frequent in both IDS and ADS speech registers.
The previous studies examining this question in three different languages (English, Korean, and Japanese) have commonly analyzed phonological properties in terms of the percentages of each phonological sound class between IDS and ADS. By analyzing sound classes, the findings of each study are comparable despite the different segmental properties of each language. Thus, the data can provide useful information of language-universal and language-specific characteristics of phonological properties across different languages.
In addition to the benefits of the cross-linguistic comparability, the adoption of phonological sound classes in speech research has important theoretical and practical foundations for understanding child speech development and learning. Although the main purpose of the current study was to examine whether IDS/CDS differed from ADS, the findings of the current study may provide additional information on whether IDS/CDS shows some commonality with children’s speech production given the fact that the phonological sound classes have been used for examining speech produced by infants and young toddlers (Lee et al., Reference Lee, Davis and MacNeilage2010; Michell & Kent, Reference Michell and Kent2009). Analyzing speech data in IDS/CDS based on phonological sound categories can allow us to indirectly examine the role of IDS/CDS on speech development more fully. The broad phonological sound classes are useful in understanding speech development because young children may develop some precise features or non-default features of their phonological system on different developmental timetables (Bernhardt & Stemberger, Reference Bernhardt and Stemberger1998). A number of studies examining speech development in infants and toddlers have been conducted by examination of phonological sound categories (Boysson-Bardies & Vihman, Reference Boysson-Bardies and Vihman1991; Levitt & Aydelott Utman, Reference Levitt and Aydelott Utman1992; Teixeira & Davis, Reference Teixeira and Davis2002; Vihman et al., Reference Vihman, Kay, Boysson-Bardies, Durand and Sundberg1994)
Similarity in frequencies of phonological sound classes between speech registers
Daland (Reference Daland2012) has reported opposite findings based on analysis of speech input using existing database corpora. While findings from Lee and colleagues (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010) and Tsuji et al. (Reference Tsuji, Nishikawa and Mazuka2014) were based on experimental studies, Daland analyzed the CHILDES corpus (MacWhinney, Reference MacWhinney2000) for CDS and the Buckeye corpus (Pitt et al., Reference Pitt, Johnson, Hume, Kiesling and Raymond2005) for ADS. He found that only glides were significantly higher in CDS than in ADS input, arguing that such difference was small or undetectable as compared to natural variation. Although Daland agreed with Lee and colleagues (Reference Lee, Davis and MacNeilage2008, Reference Lee, Davis and MacNeilage2010) that frequency variation is affected by topic-associated words, he proposed weaknesses in Lee and Davis (Reference Lee and Davis2010)’s methodology. According to Daland, IDS and ADS samples in Lee and Davis’s study were not representative because they were collected with limited sets of stimulus materials in an experimental setting. Frequency of phonological sound classes was asserted to be heavily influenced by target stimuli materials. However, Daland did not specify the children’s ages for the CHILDES corpus whereas Lee and colleagues (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010) and Tsuji et al. (Reference Tsuji, Nishikawa and Mazuka2014) focused on speech spoken to infants who were chronologically younger than 2 years of age. It is, thus, not certain whether the child’s age may also play a role in the frequency of phonological sound classes of input speech.
Daland also raised a question regarding parametric statistics used in Lee and Davis (Reference Lee and Davis2010) analyses. He suggested that non-parametric statistic may be more appropriate to estimate differences in frequency of phonological sound classes between CDS and ADS because sound data were not stationary and ergodic based on the /l/ sound in his corpus although it should not be generalized to all segments ‘Stationary’ refers to the probability that an event is constant. ‘Ergodic’ indicates that all sources are equivalent. Although Daland provides useful methodological insights, it is premature to conclude from available experiments the ‘true’ nature of the frequency of phonological sound classes and language processing. Further studies are warranted to verify Daland’s interpretation of findings. Thus, this study adopted both parametric and non-parametric methods to obtain supplemental validation for his conclusions.
Sloos and Van De Weijer (Reference Sloos and Van De Weijer2015) also analyzed French data from the CHILDES corpus for CDS (MacWhinney, Reference MacWhinney2000) and the GOUGENHEIM corpus for ADS (Gougenheim et al., Reference Gougenheim, René, Paul and Aurélien1956) to evaluate phonological structures such as the frequency of front rounded vowels, nasal vowels, secondary articulation, onsetless syllables, consonant clusters, code obstruents, code sonorants, and syllable structure between the two speech registers. Their main goal was to determine whether it is methodologically adequate to use ADS to study input patterns in language acquisition studies. They hypothesized that the frequency of occurrence of different phonological structures is not likely to differ very much between different speech styles especially ADS vs. CDS. The authors first evaluated how many words commonly occurred in each speech corpus and found that only 45% of ADS words were produced in CDS, which they considered ‘low’. They noted “the ADS corpus cannot be used as a substitute for the CDS corpus” (p.79). They selected overlapping tokens (i.e., the 450 most frequent words in both corpora) and found a very strong correlation between ADS and CDS in phonological properties, suggesting that frequencies of phonological structures in CDS and ADS occurring in words common to both corpora were very similar. However, the authors analyzed phonological properties, it is not still certain that the frequency of each phonological sound class is similar or different between these two speech registers.
Age-related changes in frequency of phonological sound classes in IDS/CDS
While no consensus is available on overall frequencies of phonological classes between IDS/CDS and ADS, another aspect that has not been investigated is whether speech input frequencies in IDS/CDS change as children’s speech and language develops over time. Age-related change in mothers’ speech style has been reported in previous studies (e.g., Kondauova et al., Reference Kondauova, Bergeson and Xu2013; Liu et al., Reference Liu, Tsao and Kuhl2009; Phillips, Reference Phillips1973; Wheeler, Reference Wheeler1983). Liu et al. (Reference Liu, Tsao and Kuhl2009) reported that CDS addressed to a younger group of children (i.e., 0;7-1;0) exhibited acoustic-phonetic exaggeration such as expanded vowel space, longer vowels, higher pitch, and greater lexical tone difference as compared to ADS. However, they found that the extent of acoustic exaggeration was significantly smaller in CDS addressed to an older group of children (i.e., 5;0), supporting the hypothesis that mothers adjust prosodic aspects of their speech directed toward children as a function of the child’s growing language abilities. Buchan and Jones (Reference Buchan and Jones2014) also examined phonological reduction changes in maternal speech in northern Australian English. In their pilot study with four mother-child dyads, they found that the deletion of word-initial /h/ and word-final /v/ increased between 1;6 and 2;0, but decreased between 2;0 and 2;6. The authors suggested that mothers fine-tune their speech as children’s receptive and productive language knowledge increases. Although Buchan and Jones (Reference Buchan and Jones2014) showed frequency of phonological sound classes changes over time in maternal speech, their study was limited to only two segments. It is still not certain whether overall frequency changes of phonological sound classes occur in CDS.
The role of the frequency input of IDS/CDS in speech development
Lee et al. (Reference Lee, Davis and MacNeilage2008) examined the role of the input speech frequency by questioning whether frequency of phonological sound classes is similar or different between IDS/CDS and ADS. A large number of previous studies used dictionary counts or ADS when they compared child’ speech with phonological characteristics of the child’s ambient language (e.g., Boysson-Bardies et al., Reference Boysson-Bardies, Halle, Sagart and Durand1989; Levitt & Aydelott Utman, Reference Levitt and Aydelott Utman1992; Teixeira & Davis, Reference Teixeira and Davis2002; Zamuner, Reference Zamuner2003). When Lee and colleagues (Reference Lee, Davis and MacNeilage2008, Reference Lee, Davis and MacNeilage2010) found differences between IDS/CDS and ADS in both Korean and English languages, they claimed that mothers may tend to intuitively match phonetic propensities that are present in infant production repertoires during their interactions with their children. At the same time, they argued that input speech frequency is mediated by lexical choice as well. When mothers interact with their children, they may adjust their conversation to the child’s level by choosing words and grammatical structures appropriate to the child’s level of development. Although diverse findings among available published studies have been reported, authors commonly agree that the frequency of segments or phonological sound classes is closely associated with lexical items used in different research designs. One of the well-known characteristics of IDS/CDS is that it focuses on ‘here and now’ objects and events (Snow & Ferguson, Reference Snow and Ferguson1977) and vocabulary in IDS/CDS is known to be repetitive. Although caregivers may not intentionally address certain vocabulary to the child, these repetitive verbal behaviors are believed to facilitate vocabulary development as well. Similarly, caregivers may not intentionally adjust their speech input frequency. Phonological distribution patterns may be an artifact of vocabulary produced. This general question of lexical-phonological interactions with speech style is important to validly establish the parameters needed to understand the role of speech style in the typical development of speech and language capacities.
To extend basic research validly to applied clinical practices, identifying the role of speech style in input is critical to support optimal intervention practices for children with clinical speech disorders. What would be the direct or indirect role of IDS/CDS speech patterns in supporting children in their course of speech development if speech input provided by educational providers such as speech pathologists or special educators is similar to ADS after eliminating lexical effects? One way to investigate the nature of the frequency of phonological sound classes in adult speech input without lexical biases would be to examine frequencies of sound classes between IDS/CDS and ADS using similar lexicon items. However, the lexicon items should still be age-appropriate for children.
Purpose of the study
Understanding of the potential role of IDS frequencies of phonological sound classes in speech input during speech acquisition in young children has not achieved consensus across available research. To resolve these different findings, it is necessary to adopt more rigorous study designs and statistical methods. The current study adopted a similar methodology to Lee and Davis (Reference Lee and Davis2010). However, significant modifications were applied in order to obtain a more representative sample relative to the differences in findings described by Daland (Reference Daland2012). Importantly, a broader set of stimulus materials was employed to avoid lexical biases. Instead of using a limited number of animal toys, over twenty animal toys were provided to mothers. They were asked to select the toys they wanted to play with their children. Data for the current study were collected for 40 minutes enabling a larger database than the 20-minute samples in Lee and Davis (Reference Lee and Davis2010). The current study, however, still used phonological sound classes as the analysis unit to make the results of this study comparable with methods in previous studies (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014).
With respect to data analyses, crossed random effects multilevel modeling was adopted to identify any significant differences among the groups. In addition, following Daland’s (Reference Daland2012) recommendation, a non-parametric method (Kruskal-Wallis test, Wayne, Reference Wayne1990) that does not require a particular form of population distribution was also utilized to supplement the findings from the parametric multilevel modeling. A more detailed rationale for these statistical analyses will be addressed in the Methods section.
Furthermore, to understand the nature of frequency differences in phonological sound classes implemented with different listeners, investigating whether frequencies of phonological sound classes in input speech changes across developmental time could be a potentially important dimension of research to understand the role of frequency of speech input in children’s phonological acquisition. Thus, the current study examined change over time in characteristics of phonological sound classes of adults’ speech input to three age groups of children (6, 18, and 36 months of age) as well as to an adult listener group. Accordingly, the current study has the goal of understanding how frequencies of phonological sound classes are potentially adjusted in input speech to three chronological/developmental age groups of children developing typically (IDS/CDS) and in speech to another adult (ADS). This goal is explored through analysis of consonant and vowel sound classes in a speech directed to these four groups.
Method
Participants
A total of 44 native English-speaking individuals living in the southwestern US participated. Thirty-three adult speakers were mothers; the other 11 were university students with no children. The 33 mother’s children were divided into three age groups; 6, 18, 36 years of age. All participants had limited exposure to other cultures and languages and had no speech, language, or cognitive impairments.
Data collection
Speech input spoken to the children by their mothers was recorded at home in order to obtain more naturally occurring speech samples. These participants were asked to wear a small traveling bag on their waist, with a Tascam DR-10L Micro Portable Audio Recorder inside. A Lavalier microphone connected to the recorder was clipped to their clothing. During the initial 2-3 minutes, they were asked to play with their children using several toys in the way they usually interacted. Subsequently, four types of target stimuli materials were provided to obtain the CDS speech samples. The types of stimuli materials included various farm and wild animals, various vehicles, various toy dishes, fruits and vegetables, and a miniature house with furniture and family members. The orthography and IPA symbols of these words are listed in Appendix A. Toys were selected because they are commonly used in naturalistic mother-child interactions in various cultures (Fernald & Morikawa, Reference Fernald and Morikawa1993; Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010) and reflect daily activities at home for children. However, some toys (i.e., toy fruits and vegetables and a miniature house with family members) were not age appropriate for the 6-month-old children. Thus, only animals and vehicle toys were used for this group. For the 18- and 36-month-old groups, adult participants were asked to play with their child for 10 minutes. For the 6-month-olds, adult participants were asked to play with toys available in their home or interact without toys if they preferred for 20 minutes. Then, animals and vehicle toys were provided for another 20 minutes. A total of 40 minutes of recording was obtained for each adult participant’s sample with their child across age groups.
After a 5-minute introduction period to explain procedures, each adult participant then talked to another adult for 40 minutes. The same stimuli materials used for the samples to children were provided in order to reduce lexical bias. Each speaker was asked to talk about any idea that came to mind when she saw the materials. Conversations for each toy lasted for approximately 10 minutes. All speech samples were collected with the same microphone and recorder used for the children’s samples.
Data analysis
After excluding interjections and names, the first 500 syllables produced with each set of test materials across all samples were selected for analysis. In total, 2,000 syllables were obtained from each participant (i.e., 500 syllables * 4 types of test materials per participant). For the speech sample spoken to 6-month-old children, the first 1,000 syllables were obtained during free-style speech interactions; then another 500 syllables were selected with each set of stimuli materials. Altogether, 88,000 syllables were analyzed across all four groups. It should be noted that if any lexical items were included more than two times in the samples consecutively, uses a third time and after were not included to avoid lexical influences on frequencies of phonological sound classes.
Analysis of frequency of phonological sound class
To achieve the goal of comparing CDS/IDS and ADS speech styles in understanding the distribution of phonological sound classes in child-adult social interactions, data were transcribed by native English speakers trained in the use of IPA conventions at the level of broad phonemic transcription with child speakers. First, consonants were analyzed in terms of manner of articulation; categories included stop /b, p, d, t, g, k/, nasal /n, m, ŋ/, fricative /f, v, θ, ð, s, z, ʃ, ʒ, h/, affricate /ʧ, ʤ/, glide /w, j/ and liquid /r, l/. Consonants were also analyzed in terms of place of articulation, including labial, coronal, dorsal, and glottal. The labial category was composed of bilabial and labio-dental places, the coronal category included inter-dental, alveolar, and palatal places. Velar and glottal categories consisted of velar and glottal sounds, respectively. Vowel data were analyzed in terms of 7 vowel categories (high-front /i, ɪ/, mid-front /e, ɛ/, low-front /æ/, mid-central /ǝ, ʌ, ɚ, ɝ/, high-back /u, ʊ/, mid-back/o, ɔ/, and low-back /ɑ/). Overall frequency of each consonant and vowel category was calculated using the Logical International Phonetic Program (LIPP) computer software (Oller & Delgado, Reference Oller and Delgado1990).
To calculate reliability for phonetic transcriptions of vowel and consonant categories, a native English speaker, blind to study hypotheses, re-transcribed 20 percent of randomly selected utterances from the sample. Consonant reliability was calculated categorically in terms of each consonant manner and place of articulation. Also, vowel reliability for 10 categories was obtained. Voiced and voiceless distinctions for consonants and tense-lax distinction for vowels were not considered. Consonants and vowels showed 96% and 95% reliability in both the CDS and ADS samples.
Statistical analysis
To address potential effects of statistical designs on diverse findings in the research literature, the current statistical design was broadened from Lee and Davis (Reference Lee and Davis2010). Analyses were directed toward comparisons of the frequency of sound classes in each of consonant (manner and place) and vowel (monophthongal) categories among the four age groups. An important analytic consideration was the clustered nature of observations — i.e., the frequency was measured for a collection of segments (i.e., consonants and vowels; level 1) within each participant (level 2). Analyses that ignore such clustering underestimate standard errors of effect parameters, thereby increasing the risk of Type I error above a nominal alpha level (Moerbeek, Reference Moerbeek2004). Thus, crossed-random effects multilevel modeling (Hox, Reference Hox2010; Raudenbush & Bryk, Reference Raudenbush and Bryk2002) was employed to properly handle non-independence among the observations. Specifically, models included fixed effects for groups. Models also included random effects for participants and consonants/vowels (i.e., variations in frequency across different participants and different consonants/vowels) which were crossed at the same level (level 2) to account for nested sources of variability. In addition, toys were included as a level-1 covariate in order to minimize potential bias due to different stimulus materials used and thus increase generalizability of the findings. The model parameters were estimated using the restricted maximum likelihood (REML) technique. When an overall group difference was significant at .05 alpha level, estimated group means were pairwise compared at a corrected alpha level (.05 / 6 = .008; i.e., Bonferroni adjustment).
This modeling approach assumes that the frequency observations in the speech samples were drawn from a parametric probability (i.e., Gaussian) distribution. If there is considerably more or less variation in the sample frequency distribution(s) than expected in the population distribution, parametric tests can be unreliable. Thus, as Daland (Reference Daland2012) suggested, a non-parametric Kruskal-Wallis test was also performed in a subsequent analysis. As detailed later, these non-parametric test results also supported the findings from the parametric multilevel modeling. All the parametric and non-parametric analyses were conducted using SAS 9.4 (SAS Institute, 2002–2012).
Results
Consonant manner of articulation
Figure 1 shows the estimated means and standard errors of the six consonant manners in the four groups analyzed. Multilevel modeling results indicated that stop, nasal, fricative, and glide manner categories were significantly different among the four groups (F (3, 1141) = 22.45, p < .001 for stops; F (3, 485) = 5.33, p < .01 for nasals; F (3, 1469) = 3.78, p < .01 for fricatives; and F (3, 321) = 16.20, p < .001 for glides). No significant differences were found in affricates and liquids (F (3, 40) = 0.72, p = .54 for affricates; F (3, 485) = 2.30, p = .08 for liquids). Non-parametric Kruskal-Wallis test results achieved the same outcomes, except for significant differences indicated for affricates (p < .05).
Speech addressed to 6-month-olds contained stops most frequently compared with other phonological categories analyzed. Pairwise comparisons revealed that stops in speech addressed to 6-month-olds were significantly higher than in the other groups (p < .001). Stops in speech input to 18-month-olds were also significantly higher than those in speech spoken to adult listeners (p < .001). Glides showed a similar pattern to stops. The frequency of glides in speech addressed to 6-month-olds was significantly higher than those in the other groups (p < .001). Glides in speech spoken to 18- and 36-month-olds were also significantly higher than in speech to adults (p < 0.001 for 18 months and p < .05 for 36 months).
Nasals and fricatives showed opposite patterns across speaker groups. Nasals were produced most frequently in speech to adults followed by speech spoken to 36-month-olds, 18-month-olds, and 6-month-olds. Pairwise comparisons revealed that nasals in speech to adults were significantly more frequent than those in speech spoken to six or 18-month-olds (p < .05 and p <.01, respectively). The estimated mean and standard errors of fricatives among the four groups looked similar. However, the frequency of fricatives in speech to adults and to 36-month-olds were significantly higher than in speech to 6-and 18-month-old children (p <.01 for both). The other comparisons (i.e., affricate and liquids) were not statistically significant among the four groups at the Bonferroni-adjusted alpha level.
In summary, frequencies of stops and glides were higher, but nasals and fricatives were lower frequency in mother’s speech to the two younger groups (6-month-olds and 18- month-olds) than in speech to the other older child (36-month-olds) and adult speaker groups.
Figure 1. Estimated means and standard errors for each consonant manner category in three group of CDS and ADS.
Consonant place of articulation
Figure 2 shows the estimated means and standard errors of the four consonant places in the four groups of speakers. Multilevel modeling results indicate that all four place categories were significantly different among the four groups (F (3, 49) = 21.19, p < .001 for labials; F (3, 2617) = 6.21, p < .001 for coronals; F (3, 485) = 11.90, p < .001 for dorsals; and F (3, 322) = 3.27, p < .001 for glottals). These findings were also supported by Kruskal-Wallis test results, although the differences in coronals were not significant in non-parametric testing (p = .13).
Pairwise comparisons indicated that labials in speech addressed to 6-month-olds were significantly more frequent than the rest of the groups (p < .001 for all groups). In addition, labials in speech addressed to 18-month-olds were significantly more frequent than speech spoken to 36-month-olds (p < .05). Coronals in speech addressed to six and to 18-month-olds were significantly less frequent than in speech spoken to 36-month-olds (p < .05 for both groups) as well as speech to adults (p < .01 for 6 months and p <.05 for 18 months). Both dorsals and glottals were produced least frequently in speech to adults, followed by speech spoken to 36-month-olds, 18-month-olds, and 6-month-olds respectively. All pairwise comparisons were significant for dorsals (p < .01 for all comparison) except for speech between 18- and 36-month-olds and speech spoken to 36-month-olds and to adults. For glottals, the only pairwise comparison that showed significance was between speech addressed to 6-month-olds and to adults (p < .05).
In summary, frequencies of stops, dorsals, and glottals were higher, but coronal frequencies were lower in mother’s CDS speech directed to all three child groups than in their ADS speech directed to adults.
Figure 2. Estimated means and standard errors for each consonant place category in three group of CDS and ADS.
Vowels
Figure 3 shows the estimated means and standard errors of seven vowel categories analyzed among the four groups. Multilevel modeling results indicate that three vowel categories (mid-front, low-front, and high-back) were significantly different among the four groups (F (3, 157) = 9.14, p < .001 for mid-front; F (3, 41) = 3.47, p < .05 for low-front; F (3, 46) = 51.30, p < .001 for high back). The other vowels (i.e., high-front, mid-central, mid-back, and low-back) were not significantly different from each other (F (3, 38) = 1.42, p = .25 for high-front; F (3, 42) = 0.66, p = .58 for mid-central; F (3, 41) = 1.66, p = .19 for mid-back; and F (3, 42) = 2.30, p = .09 for low-back). However, in non-parametric testing, all seven vowel categories were significantly different across the four groups (p < .001–.05).
Pairwise comparisons indicated that high-back vowels were significantly different from each other (p < .001–.05) in that high-back vowels were most frequent in speech spoken to 6-month-olds, followed by speech to 18-and 36-month-olds and to adults. Speech to adults produced significantly less frequent mid-front vowels than speech addressed to 18- or 36-month-olds (p < .001 and .05, respectively). In terms of low-front, the only significant comparison was between speech spoken to 36-month-olds and to adults (p < .05). All other pairwise comparisons were not statistically significant at the Bonferroni-adjusted alpha level.
In summary, only high-back vowels showed the developmental changes found in consonant manner and place. Frequency of high-back vowels was higher in speech to the 6-month-old infants and their frequency decreased as listener age increased.
Figure 3. Estimated means and standard errors for each monophthong vowel in three group of CDS and ADS.
Discussion
The goal of this study was to resolve issues in currently available research related to the frequency of phonological properties in input speech and to provide additional insight on the role of speech input style from adults in the development of young children in the formative stages of speech and language development. Four speaker groups were analyzed to understand better frequency changes in phonological sound classes as children’s chronological age increases (i.e., IDS/CDS to 6-,18-, and 36-month-olds) compared with adult-directed speech (ADS, speech with an adult speaker).
In past research, two groups of researchers (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014) found that the frequency of phonological sound classes differed between ADS and CDS/IDS based on experimental data. In contrast, Daland (Reference Daland2012) claimed that such differences would be small or undetectable and frequency variation of speech input might be affected by topics discussed or lexical effects based on toys used during mother and child interaction based on analyses of data from spontaneous corpora.
To overcome the limitations of the previous studies, more natural speech samples designed to control for lexical bias related to use of a narrow set of stimulus materials were used. Over fifty toys were provided to mothers to make their own selection of the toys they wanted from the array. Data were collected for 40 minutes to enable a larger database of utterances for analysis. Broader statistical analyses were implemented with the data, including both crossed random effects multilevel modeling to identify any significant differences among the groups and a non-parametric method (i.e., Kruskal-Wallis test, Wayne, Reference Wayne1990) that does not require a particular form of the population distribution to supplement the findings from the parametric multilevel modeling. Finally, while previous studies focused on one age group, three age groups of children (i.e., 6, 18, and 36 months of age) were included to examine changes over chronological age in the frequency of phonological sound classes as children actively develop their phonological system.
Based on our more comprehensive study design, we found that frequencies of phonological sound classes in speech input to young children (i.e., CDS/IDS) were indeed different as children’s chronological age increased as well as compared to speech spoken to adults (i.e., ADS), consistent with Lee and colleagues (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010) and Tsuji et al. (Reference Tsuji, Nishikawa and Mazuka2014). We found significantly different frequency distribution patterns for both consonant manner and place. Differences in vowel frequencies were limited to only three categories.
Consonant manner
Findings for consonant manner indicated that stops and glides were produced more frequently in the mother’s speech to 6-, and 18-month-old children (CDS) than in their speech directed to adult listeners (ADS). Stop frequencies in speech directed to 36-month-old children were not significantly different in frequency than in speech directed to adult listeners. The finding of the current study was consistent with previous research in English (Lee & Davis, Reference Lee and Davis2010) in that stops in CDS were significantly more frequent than in ADS. Although more studies in other languages are warranted, the substantially higher frequency of stop consonant manner in CDS was not observed in two Asian languages. Unlike English, both Korean and Japanese studies did not find a significant difference in the frequency of stop manners between ADS and IDS (Lee et al., Reference Lee, Davis and MacNeilage2008; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014). Recall that Tsuji et al. analyzed frequency of phonological sound classes in both running speech and word-initial content words. Although Tsuji et al. (Reference Tsuji, Nishikawa and Mazuka2014) found more stops in IDS than in ADS for word-initial content words, because the current study only analyzed running speech data, the results of the running speech in Tsuji et al. were mainly compared with the current findings.
Nasals were significantly less frequent in speech directed to 6- and 18-month-olds than in speech directed to 36-month-olds and ADS in the current study. Frequencies for fricatives were similar to nasal frequencies. Fricatives were significantly higher in ADS and to 36-month-old children than in speech directed to 6- and 18-month-old children. These findings were consistent with Lee and Davis’ (Reference Lee and Davis2010) findings for English. However, findings for English were slightly different from study of Korean (Lee et al., Reference Lee, Davis and MacNeilage2008). Korean ADS showed a higher frequency of fricatives, but a similar nasal frequency to IDS. Unlike Korean and English, the available Japanese study (Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014) found no difference in fricatives and nasals between ADS and IDS.
The findings of the current study support claims in previous studies (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010) that, generally, stops, and glides, described as early developing sounds in children’s production output, were more frequent in speech directed to the two youngest child groups. In contrast, fricatives are considered later developing sounds in child speech production, and are more frequent in the 36-month-old children in the speech to adults. As Dinnsen et al. (Reference Dinnsen, Chin, Elbert and Powell1990) proposed, stops, nasals, and glides as ballistic movements incorporate simple articulation movement with regulating velo-pharyngeal valving. In contrast, fricatives and affricate sounds require regulation of lingual configuration and fine force control to generate frication noise (Kent, Reference Kent, Ferguson, Menn and Stoel-Gammon1992). Therefore, the current study confirms previous findings that stops and glides are more frequent in CDS than in ADS while fricatives are more frequent in ADS and CDS.
In addition to articulatory complexity, the previous studies posited frequency of phonological sound class differences might be affected by lexical choice in a specific language (Lee & Davis, Reference Lee and Davis2010; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014). For example, the frequent use of glides in CDS may be influenced by the frequent use of word ‘you’ in English CDS (Gerometta & Shafer, Reference Gerometta and Shafer2008). This frequency effect can be explained by language-specific patterning because the sounds of the equivalent word in Korean (/nʌ/ or /tangʃɪn/) and Japanese (/anata/) are different from English. Furthermore, the pronoun ‘you’ is often omitted and termed an ‘empty pronoun’ in Korean and Japanese (Suh, Reference Suh1991). Although the current study did not conduct lexical analyses, the greater frequency of glides may be attributed to the use of pronouns in English CDS.
Unlike the previous study (Lee & Davis, Reference Lee and Davis2010) where significantly more affricate and liquid sounds were found in English ADS, the current study found no significant differences between the three child listener groups and the adult listener group for these sound categories. Non-parametric results revealed similar outcomes based on parametric multilevel modeling outcomes. It is not clear why these patterns would not be more frequent in the speech to adult listeners than to child listeners. However, the different results with the same language population indicate that as Daland (Reference Daland2012) claimed, the frequency of phonological sound classes may be influenced by corpus size. When Tsuji et al. (Reference Tsuji, Nishikawa and Mazuka2014) analyzed the frequency of sound classes for running speech as well as word-initial content words, the findings of the frequency of sound classes differed between IDS and IDS. In other words, the frequency of affricates was only different between the two groups in running speech where overall frequency was evaluated. In contrast, the frequencies in word-initial words only were different for stops, fricatives, and glides between ADS and IDS. Thus, the non-significance findings between affricates and liquids in the current study may be also attributed to the small corpus in the previous study (Lee & Davis, Reference Lee and Davis2010). It also remains difficult to eliminate the effect of the number of participants or the variety of materials used to collect speech samples on the frequencies of sound classes. Further studies are warranted to examine frequencies of phonological sound classes in various contexts.
Consonant place
While frequencies of phonological sound classes have been commonly examined for consonant manner, the frequency of the consonant place has not been examined in English ADS and IDS. Similar to previous studies of Korean and Japanese, the current study found that the frequencies of consonant place were also different among speech directed to the four groups of speakers. Labial sounds were produced more frequently in CDS, but coronal sounds were less frequently produced in speech spoken to the two youngest child groups (6 and 18 months) than to the 36-month-old group and to adults. In addition, unlike Korean and Japanese, English CDS to all the child groups showed more dorsal and glottal sounds than ADS to the adult group.
The frequency of labial sound class in CDS seemed to be consistent with English-learning children’s speech output developmental patterns because the labial sound class has been frequently observed in early child speech production inventories (e.g., Bernhardt & Stemberger, Reference Bernhardt and Stemberger1998). Given that more labials were produced in both Korean and Japanese IDS than in ADS (Lee et al., Reference Lee, Davis and MacNeilage2008; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014), more frequent use of labials in IDS/CDS may be a universal pattern. However, the coronal and dorsal sound patterns were opposite to the English-learning children’s production output patterns in that coronal consonants occur earlier in English-learning children’s developmental output inventories. Dorsal sounds have been frequently described as a later developing sound in most early child speech production inventories, and as occurring at a lower frequency in adult output in English. Among two sounds /h/ and /Ɂ/ counted as a glottal place, /Ɂ/ is not an English phoneme.
In addition to labial place, an earlier onset of coronal compared to dorsal place is also frequently reported in child speech development in various languages (e.g., Howard, Reference Howard and McLeod2007 for British English; Rose & Wauquier-Gravelines, Reference Rose and Wauquier-Gravelines2007 for French; Goldstein, Reference Goldstein and McLeod2007 for Spanish). Regardless of earlier onset of coronal consonants, the less frequent coronal sounds in CDS were observed in all three previous studies examining the frequency patterns of phonological sound classes between ADS and IDS/CDS (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014). When compared to ADS, the lower frequency of coronal consonants may result from higher frequency of the other places in IDS/CDS. In other words, when the percentage of each place was measured, if the percentage of labial and other places increased in CDS/IDS, the percentage of coronal place would decrease. The decreased percentage of coronal consonants in CDS/IDS may not affect a child’s learning of coronal consonants because coronal consonants are the most frequent place of articulation across languages. For example, 66% and 64% of consonants are classified as coronal in English (Mines et al., Reference Mines, Hanson and Shoup1978) and in Korean (Jin, Reference Jin1993). In Japanese IDS, coronal ratios were higher than labials and dorsals (Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014). Because the higher frequency of coronal sounds is already matched with child production patterns, it may not impact the percentage of coronal sounds decrease in IDS/CDS.
The higher frequency of dorsal and glottal sounds produced in input to the youngest child group in English CDS could be a side effect of the exaggerations reported in early IDS (Fernald et al., Reference Fernald, Taeschner, Dunn, Papousek, Boysson-Bardies and Fukui1989). These patterns may not be related to mothers’ teaching function in English. Instead, they may serve to increase a child’s attention. The increased frequency of a certain sound in a language was also observed. For example, Korean fortis sounds are generally less frequent than other consonants produced in Korean ADS (Lee et al., Reference Lee, Davis and MacNeilage2008). However, this sound was produced frequently in Korean IDS, possibly due to the fact that the acoustic signature of the sounds may be more perceptually prominent to infants. In other words, the acoustic amplitude and vocal pitch of the following vowel in producing fortis sounds may be perceptually prominent for infants (Jun, Reference Jun, Kuno, Lee, Whitman, Maling, Kang, Sells and Sohn2006). Therefore, the frequency of phonological sound classes is not only affected by caregiver’s unconscious and conscious choice of lexicon to assist child’s speech development, but also encourage their child to attend to interact with caregivers and increase awareness of sounds. Further studies are warranted to explicate this hypothesis more clearly.
Vowels
The two statistical treatments achieved different results for vowels. Multilevel modeling results indicated that mid-front, low-front, and high-back categories significantly differed among the three child listener and the adult listener groups. The other vowel categories were not significantly different from each other across the four groups. However, based on non-parametric Kruskal-Wallis testing, all seven vowel categories differed significantly among the four groups.
Based on these conflicting results, multilevel modeling was pursued to make a more conservative interpretation. Outcomes indicated that high-back vowels in input were significantly different from each other across the four listener groups, with highest frequency in the youngest listener group (6-month-olds), and decreasing frequency across the three other groups (i.e., 18- and 36-month old listeners and adult listeners respectively). The high frequency of high-back vowels produced in CDS as compared to ADS to adults was consistent with previous studies of English (Lee & Davis, Reference Lee and Davis2010; Lee et al., Reference Lee, Davis and MacNeilage2010) and consistent with previous findings regarding English-learning children’s speech production repertoire. Rvachew et al. (Reference Rvachew, Mattock, Polka and Menard2006) reported that English-learning infants produced more frequent high-back vowel [u] than French-learning infants through the age ranges of 0.8 to 1.6.
While the high-back vowel was the only monophthongal vowel that differed between ADS and CDS in the previous study, the current study also found differences in the frequency of mid-front and low-front vowels. It is not certain why these two front vowels were also more frequent in CDS than in ADS. It may be that changes in input to child and adult listeners may be centered on alterations in consonants more than in vowel patterns. This possibility should be explored further to consider how vowels may support young listeners during the development of the sound system as well as how they may be varied in diverse types of adult listeners.
Frequency of phonological sound classes between IDS/CDS and ADS
Regardless of increased corpus size, the current study clearly showed a consistent finding that the frequency of most phonological sound classes differs between the two speech registers. The main methodological difference between the two group of researchers (i.e., Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014 vs. Daland, Reference Daland2012; Sloos & Van De Weijer, Reference Sloos and Van De Weijer2015) was in data collection method. One group of researchers collected data from participants in an experimental setting using the same materials with age specified whereas the other group of researchers adopted an existing database. Obviously, the existing database provides great benefits for conducting research in that it can provide researchers with an efficient and cost-effective method for answering research questions. However, the current study demonstrated that the secondary analysis of data may not always bring the same results as an experimental study does in evaluating frequency of phonological classes because the existing corpus may not specify child’s age and the materials used in the study. For instance, the current study found that the differences in frequency of phonological classes are greater between IDS/CDS and ADS in speech to 6 months-old whereas the frequencies of the phonological classes were similar between 36 month-olds and adults. Without specification of child participants’ ages, the existing data collapsed caregivers’ speech spoken to children at all different ages. More data were obtained from older children so the results could be similar between the two registers. Daland (Reference Daland2012) noted in his Methodology section “…the original sub-corpora comprising the corpus were collected by a variety of researchers working with children of varying ages and for varying purposes (p. 1100)”. Therefore, researchers should carefully interpret their results when secondary analysis is made. It might be difficult to argue that the frequency of phonological properties is not different between the speech registers when child age was not specified.
The role of IDS/CDS on children’s phonological acquisition
Although the current study did not make a direct comparison between child and IDS/CDS, our finding would provide helpful insight into the role of IDS/CDS on children’s phonological acquisition. We found several matched patterns between our IDS/CDS data and child speech output properties reported in the current literature. For example, the overall consonant manner patterns showed a high frequency of stops and glides, but lower frequency of fricatives, a high frequency of labial place and the highest frequency of high-back vowels especially to the 6-month-old group. Several accounts attempt to explain the role of IDS/CDS during early speech development. Cross (Reference Cross, Snow and Ferguson1977) asserted that caregivers match their speech to their child’s production capacities by noting that the input to rapidly developing children is graded continuously in tune with their linguistic and communicative abilities. Similarly, Sundberg (Reference Sundberg1998) proposed that mothers use the infant’s vocalizations to tune to the infants’ phonological abilities and adjust their IDS to infants’ level of phonological development. Fernald and Morikawa (Reference Fernald and Morikawa1993) also suggest that mothers modify and adjust their speech to complement the perceptual and cognitive immaturity of their child. Such fine-tuning/adjusted IDS argument is also consistent with Lee and Davis’s claim (Lee & Davis, Reference Lee and Davis2010) that mothers may be sensitive to their child’s developmental stage of speech production mastery and adjust their speech to the level of the child’s production capacities. However, it should be noted that caregivers’ speech input may not always intend to match children’s speech development. Beside the consonant manners and a few places, the current study could not find consistent patterns of other consonant place and vowels relative to the children’s phonological output development patterns. Instead, it may demonstrate psychosocial functions such as maintaining children’s attention. Thus, consistency between the two speech styles may not occur. Fine-tuning/ adjusted IDS accounts should be further verified in future studies.
Unlike previous studies (Lee et al., Reference Lee, Davis and MacNeilage2008; Lee & Davis, Reference Lee and Davis2010; Tsuji et al., Reference Tsuji, Nishikawa and Mazuka2014), the current study employed three groups of children at 6, 18, and 36 months of age to examine the potential for frequency changes in speech input over time as the children develop their phonological output skills. Examining how phonological properties of caregiver’s speech may change with increase in child age could provide a more in-depth insight on the role of IDS/CDS. Visual inspection showed that frequencies of stops, nasals, fricatives, and glides change as the children’s chronological age increases. The frequencies of consonant place class also change as the children’s chronological age increases. More importantly, the frequency of mothers’ speech produced to 36-month children was more similar to speech directed to adults (ADS). These overall trends as well as similar frequency of phonological sound classes between speech to 36-month children and to adults may be explained by a scaffolding hypothesis that CDS input may play a scaffolding role in assisting children to develop their own repertoire of ambient language patterns. Vygotsky’s (Reference Vygotsky, Cole, John-Steiner, Scribner and Souberman1978) sociolinguistic learning theory asserted that children’s learning is accomplished by adult’s engagement to assist the child in developing beyond the skills the child already possesses. Then, a question arises: “what causes such phonological changes in mothers’ input?” One possible reason of the phonological property changes in caregivers’ speech might be the increase in diversity of the lexicon and of sentence structures as their child’s chronological age increases. For example, when a child is 6-month old, mothers may tend to say “what” and “you” more frequently. As result, more glides are produced as we found in this study. During an adult’s interactions with 36 month-olds or other adults, however, conversations may not focus on asking fundamental names such as “what is this?” because listeners may already know their names and may not focus on asking or directing a listener to do by using a pronoun “you”. It should be also noted that previous studies indicated cultural differences in use of pronouns and speech style (Fernald & Morikawa, Reference Fernald and Morikawa1993; Lee & Nakayama, Reference Lee and Nakayama2000). Due to the close association of lexical and phonology development, mothers’ phonological use may be influenced by the lexicon they choose when they interact with their children depending on their age. Examining potential relationship(s) between lexical and phonological properties was not within the scope of the current study. A more precise examination of whether phonological properties change as children grow could be accomplished by cross-linguistic studies because frequent lexicons used in children’s speech could differ among languages.
The importance of speech input is highlighted more in speech pathology services. Our finding provides an important clinical implication. When speech-language pathologists teach a child with speech sound disorder specific phonemes, they carefully select words salient for the child that contain the target sounds. By repeatedly addressing the words and providing ample opportunity for the child to produce the words during therapy, children get more exposure to the sound supporting the child’s development of accurate production for communication. Thus, given the inherent relationship between the lexicon and phonological development in children with and without speech sound disorders, it is more meaningful to educators and speech pathologists to understand how the frequency of phonological sound classes is different between ADS and CDS/IDS when the same lexical opportunity is given to both ADS and IDS/CDS speakers.
It is also important to note that the size of the corpus could also play a role in frequencies of phonological sound classes. For example, the frequency of affricates and liquids within the same population (i.e., English-speaking mothers) in the current study differed from the data results for the previous study of English (Lee & Davis, Reference Lee and Davis2010). When Tsuji et al. (Reference Tsuji, Nishikawa and Mazuka2014) analyzed the same corpus in two different ways (overall frequency vs. word-initial) in Japanese, the frequencies of each consonant manner and place category were different. Therefore, the different frequencies of phonological sound classes could be observed if studies were conducted using a different methodology. Furthermore, different phonological patterns could be observed when data were collected using different materials to elicit speech samples. Therefore, it is plausible to propose that differences between the two groups of researchers regarding frequency of segments and phonological sound classes may also be attributed to the different sample size.
In addition, the statistical methodology may also affect the significance of the findings. While the two statistical analysis types employed in this study found similar results for consonants, vowel results differed between the non-parametric Kruskal-Wallist test and the crossed random effects multilevel modeling. Thus, future studies should carefully consider the type of statistical method implemented to investigate frequency analyses of speech input in ADS and CDS.
Conclusions and future studies
In conclusion, expansions of the methods used in previous research relative to length of samples and diversity of materials used for samples were implemented: to enable a more valid sample that was not affected by stimulus bias and contained adequate materials for analysis. As a result, outcomes are seen as moving toward options for consensus on the role of CDS versus ADS input patterns for basic dimensions of speech input to child listeners at differing language development levels contrasted with connected speech between adult speakers and listeners, indicating the potential role of change over time in input addressed to children. Although the current study focused on the frequency of phonological sound classes in speech input to children, further studies are warranted to examine ‘segmental’ analysis between CDS/IDS to obtain a more precise understanding of how children develop each phoneme in their language relative to input values. Also changes of phonological properties of IDS/CDS and their relationship with lexical and syntactic structures over time should be examined cross-linguistically in future studies.
Appendix A
Toys provided to the participants of the study
