Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/4351
Title: Speech-based identification of social groups in a single accent of British English by humans and computers
Authors: Hanani, Abualsoud
Russell, Martin
Carey, Michael J.
Keywords: Speech processing systems;Language and languages - Identification;Speech perception - Technological innovations.;Automatic speech recognition
Issue Date: 2011
Abstract: Classification of social groups within a given accent is a challenging refinement of language identification (LID) and accent/dialect recognition. The 2001 census of England and Wales identifies two main ethnic groups in the city of Birmingham, which it refers to as Asian and white. In this paper LID techniques are applied to the problem of identifying individuals from these two groups who were born in Birmingham and hence speak British English with a Birmingham accent. An Equal Error Rate (EER) of 3.57% is obtained using a LID system which fuses the outputs of several acoustic and phonotactic systems. This performance is much better than expected and compares to an EER of 8.72% achieved by human listeners. The implications of this result for automatic speech recognition are discussed
URI: http://hdl.handle.net/20.500.11889/4351
Appears in Collections:Fulltext Publications

Files in This Item:
File Description SizeFormat
0004876.pdf92.26 kBAdobe PDFView/Open
Show full item record

Page view(s)

6
Last Week
0
Last month
2
checked on Feb 25, 2020

Download(s)

6
checked on Feb 25, 2020

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.