DocumentCode :
118576
Title :
An overview of robustness related issues in speaker recognition
Author :
Zheng, Thomas Fang ; Qin Jin ; Lantian Li ; Jun Wang ; Fanhu Bie
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
10
Abstract :
Speaker recognition technologies have been improved rapidly in recent years. However, critical robustness issues need to be addressed when they are applied in practical situations. This paper provides an overview of technologies dealing with robustness related issues in automatic speaker recognition. We first categorize the robustness issues into three categories, including environment-related, speaker-related and application-oriented issues. For each category, we then describe the current hot topics, existing technologies, and potential research focuses in the future.
Keywords :
speaker recognition; application-oriented issue; automatic speaker recognition technology; environment-related issue; robustness related issue; speaker-related issue; Data models; Hidden Markov models; Robustness; Speaker recognition; Speech; Speech recognition; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location :
Siem Reap
Type :
conf
DOI :
10.1109/APSIPA.2014.7041826
Filename :
7041826
Link To Document :
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