Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Rao, Akshay
and
Carney, Laurel H.
2014.
Speech Enhancement for Listeners With Hearing Loss Based on a Model for Vowel Coding in the Auditory Midbrain.
IEEE Transactions on Biomedical Engineering,
Vol. 61,
Issue. 7,
p.
2081.
Wu, Dan
Kendrick, Keith M.
Levitin, Daniel J.
Li, Chaoyi
Yao, Dezhong
and
Najbauer, Joseph
2015.
Bach Is the Father of Harmony: Revealed by a 1/f Fluctuation Analysis across Musical Genres.
PLOS ONE,
Vol. 10,
Issue. 11,
p.
e0142431.
Kirchberger, Martin
and
Russo, Frank A.
2016.
Harmonic Frequency Lowering.
Trends in Hearing,
Vol. 20,
Issue. ,
Hart, Adam
2016.
Microtonal Tunings in Electronic Dance Music: A Survey of Precedent and Potential.
Contemporary Music Review,
Vol. 35,
Issue. 2,
p.
242.
Cherny, Eugene
Lilius, Johan
Brusila, Johannes
Mouromtsev, Dmitry
and
Rogozinsky, Gleb
2016.
Knowledge Engineering and Semantic Web.
Vol. 649,
Issue. ,
p.
202.
Teixeira, Eduardo P.
Gonçalves, Eder M. N.
and
Adamatti, Diana F.
2016.
Uma Abordagem Baseada em Agentes Para Um Sistema de Classificação de Timbres.
p.
23.
Camporeale, Sergio M.
Laera, Davide
and
Campa, Giovanni
2016.
Handbook of Combustion.
p.
1.
Pejuan, Arcadi
2017.
Verifying the frequency ratios in the musical scale of just intonation with “hear‐and‐see” learning tools.
Computer Applications in Engineering Education,
Vol. 25,
Issue. 1,
p.
5.
Kolchinsky, Artemy
Dhande, Nakul
Park, Kengjeun
and
Ahn, Yong-Yeol
2017.
The Minor fall, the Major lift: inferring emotional valence of musical chords through lyrics.
Royal Society Open Science,
Vol. 4,
Issue. 11,
p.
170952.
Teixeira, Eduardo Porto
Goncalves, Eder M. N.
and
Adamatti, Diana F.
2017.
Ulises: A Agent-Based System For Timbre Classification.
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal,
Vol. 6,
Issue. 2,
p.
33.
Teixeira, Eduardo Porto
Goncalves, Eder M. N.
and
Adamatti, Diana F.
2018.
Ulises: An Agent-Based System For Timbre Classification.
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal,
Vol. 7,
Issue. 1,
p.
29.
Totz, Jan Frederik
2019.
Synchronization and Waves in Active Media.
p.
1.
Gonzalez-Billandon, Jonas
Sciutti, Alessandra
Tata, Matthew
Sandini, Giulio
and
Rea, Francesco
2020.
Audiovisual cognitive architecture for autonomous learning of face localisation by a Humanoid Robot.
p.
5979.
Kromhout, Melle Jan
2020.
Hearing pastness and presence: the myth of perfect fidelity and the temporality of recorded sound.
Sound Studies,
Vol. 6,
Issue. 1,
p.
29.
Vanitha Lakshmi, M.
and
Sudha, S.
2020.
RETRACTED ARTICLE: Noise diminution and formant extraction on vowels for hearing aid users.
Multimedia Tools and Applications,
Vol. 79,
Issue. 5-6,
p.
3729.
Centracchio, Francesco
and
Iemma, Umberto
2021.
An integrated approach to the direct simulation of brasses in the performance environment.
Applied Acoustics,
Vol. 177,
Issue. ,
p.
107935.
Mizukoshi, Fumiya
Takahashi, Hidetoshi
and
Chou Chau, Yuan-Fong
2021.
Acoustic notch filtering earmuff utilizing Helmholtz resonator arrays.
PLOS ONE,
Vol. 16,
Issue. 10,
p.
e0258842.
Lloyd, Stephanie
and
Tremblay, Alexandre
2021.
No hearing without signals: imagining and reimagining transductions through the history of the cochlear implant.
The Senses and Society,
Vol. 16,
Issue. 3,
p.
259.
Lomas, James Derek
Lin, Albert
Dikker, Suzanne
Forster, Deborah
Lupetti, Maria Luce
Huisman, Gijs
Habekost, Julika
Beardow, Caiseal
Pandey, Pankaj
Ahmad, Nashra
Miyapuram, Krishna
Mullen, Tim
Cooper, Patrick
van der Maden, Willem
and
Cross, Emily S.
2022.
Resonance as a Design Strategy for AI and Social Robots.
Frontiers in Neurorobotics,
Vol. 16,
Issue. ,
Schultz, Benjamin Glenn
and
Vogel, Adam P.
2022.
A Tutorial Review on Clinical Acoustic Markers in Speech Science.
Journal of Speech, Language, and Hearing Research,
Vol. 65,
Issue. 9,
p.
3239.