Effect of auditory efferent time-constant duration on speech recognition in noise
Author(s) -
Ifat Yasin,
Fangqi Liu,
Vit Drga,
Andreas Demosthenous,
Ray Meddis
Publication year - 2018
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.5023502
Subject(s) - efferent , speech recognition , noise (video) , time constant , computer science , duration (music) , signal (programming language) , constant (computer programming) , audiology , acoustics , artificial intelligence , psychology , physics , neuroscience , medicine , engineering , afferent , electrical engineering , image (mathematics) , programming language
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.
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