English vowel recognition in multi-talker babbles mixed with different numbers of talkers

Author:

Wang Xianhui12ORCID,Xu Li23ORCID

Affiliation:

1. Departments of Anatomy and Neurobiology, Biomedical Engineering, Cognitive Sciences, and Otolaryngology—Head and Neck Surgery, University of California Irvine 1 , Irvine, California 92697, USA

2. Hearing, Speech and Language Sciences, Ohio University 2 , Athens, Ohio 45701, USA

3. Department of Audiology and Speech-Language Pathology, Asia University 3 , Taichung 41354, Taiwan kayew@hs.uci.edu , xul@ohio.edu

Abstract

The present study examined English vowel recognition in multi-talker babbles (MTBs) in 20 normal-hearing, native-English-speaking adult listeners. Twelve vowels, embedded in the h-V-d structure, were presented in MTBs consisting of 1, 2, 4, 6, 8, 10, and 12 talkers (numbers of talkers [N]) and a speech-shaped noise at signal-to-noise ratios of −12, −6, and 0 dB. Results showed that vowel recognition performance was a non-monotonic function of N when signal-to-noise ratios were less favorable. The masking effects of MTBs on vowel recognition were most similar to consonant recognition but less so to word and sentence recognition reported in previous studies.

Publisher

Acoustical Society of America (ASA)

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