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Effect of auditory efferent time-constant duration on speech recognition in noise.
Yasin, Ifat; Liu, Fangqi; Drga, Vit; Demosthenous, Andreas; Meddis, Ray.
Afiliação
  • Yasin I; Department of Computer Science, University College London, 66-72 Gower Street, London WC1E 6BT, United Kingdom.
  • Liu F; Department of Electronic and Electrical Engineering, University College London, Torrington Place, London WC1E 7JE, United Kingdom.
  • Drga V; Department of Computer Science, University College London, 66-72 Gower Street, London WC1E 6BT, United Kingdom.
  • Demosthenous A; Department of Electronic and Electrical Engineering, University College London, Torrington Place, London WC1E 7JE, United Kingdom.
  • Meddis R; Department of Psychology, University of Essex, Colchester CO4 3SQ, United Kingdom i.yasin@ucl.ac.uk, fangqi.liu.14@ucl.ac.uk, v.drga@ucl.ac.uk, a.demosthenous@ucl.ac.uk, rmeddis@essex.ac.uk.
J Acoust Soc Am ; 143(2): EL112, 2018 02.
Article em En | MEDLINE | ID: mdl-29495711
ABSTRACT
The human auditory efferent system may play a role in improving speech-in-noise recognition with an associated range of time constants. Computational auditory models with efferent-inspired feedback demonstrate improved speech-in-noise recognition with long efferent time constants (2000 ms). This study used a similar model plus an Automatic Speech Recognition (ASR) system to investigate the role of shorter time constants. ASR speech recognition in noise improved with efferent feedback (compared to no-efferent feedback) for both short and long efferent time constants. For some signal-to-noise ratios, speech recognition in noise improved as efferent time constants were increased from 118 to 2000 ms.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article