Changes in neuronal representations of consonants in the ascending auditory system and their role in speech recognition

Steadman, M.A. and Sumner, C.J. ORCID: 0000-0002-2573-7418, 2018. Changes in neuronal representations of consonants in the ascending auditory system and their role in speech recognition. Frontiers in Neuroscience, 12: 671. ISSN 1662-453X

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Abstract

A fundamental task of the ascending auditory system is to produce representations that facilitate the recognition of complex sounds. This is particularly challenging in the context of acoustic variability, such as that between different talkers producing the same phoneme. These representations are transformed as information is propagated throughout the ascending auditory system from the inner ear to the auditory cortex (AI). Investigating these transformations and their role in speech recognition is key to understanding hearing impairment and the development of future clinical interventions. Here, we obtained neural responses to an extensive set of natural vowel-consonant-vowel phoneme sequences, each produced by multiple talkers, in three stages of the auditory processing pathway. Auditory nerve (AN) representations were simulated using a model of the peripheral auditory system and extracellular neuronal activity was recorded in the inferior colliculus (IC) and primary auditory cortex (AI) of anaesthetized guinea pigs. A classifier was developed to examine the efficacy of these representations for recognizing the speech sounds. Individual neurons convey progressively less information from AN to AI. Nonetheless, at the population level, representations are sufficiently rich to facilitate recognition of consonants with a high degree of accuracy at all stages indicating a progression from a dense, redundant representation to a sparse, distributed one. We examined the timescale of the neural code for consonant recognition and found that optimal timescales increase throughout the ascending auditory system from a few milliseconds in the periphery to several tens of milliseconds in the cortex. Despite these longer timescales, we found little evidence to suggest that representations up to the level of AI become increasingly invariant to across-talker differences. Instead, our results support the idea that the role of the subcortical auditory system is one of dimensionality expansion, which could provide a basis for flexible classification of arbitrary speech sounds.

Item Type: Journal article
Publication Title: Frontiers in Neuroscience
Creators: Steadman, M.A. and Sumner, C.J.
Publisher: Frontiers Research Foundation
Date: 12 October 2018
Volume: 12
ISSN: 1662-453X
Identifiers:
NumberType
10.3389/fnins.2018.00671DOI
Rights: Copyright © 2018 Steadman and Sumner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Divisions: Schools > School of Social Sciences
Depositing User: Jonathan Gallacher
Date Added: 26 Feb 2019 13:58
Last Modified: 26 Feb 2019 14:02
URI: http://irep.ntu.ac.uk/id/eprint/35811

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