Conference
On The Impact of Language Familiarity in Talker Change Detection
Abstract
The ability to detect talker changes when listening to conversational speech is fundamental to perception and understanding of multi-talker speech. In this paper, we propose an experimental paradigm to provide insights on the impact of language familiarity on talker change detection. Two multi-talker speech stimulus sets, one in a language familiar to the listeners (English) and the other unfamiliar (Chinese), are created. A listening test is …
Authors
Sharma N; Krishnamohan V; Ganapathy S; Gangopadhayay A; Fink L
Volume
00
Pagination
pp. 6249-6253
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
May 8, 2020
DOI
10.1109/icassp40776.2020.9054294
Name of conference
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)