DocumentCode :
2394003
Title :
Short Utterance Speaker Recognition A research Agenda
Author :
Fatima, Nakhat ; Zheng, Thomas Fang
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
1746
Lastpage :
1750
Abstract :
Short Utterance Speaker Recognition (SUSR) is an important area of speaker recognition when only small amount of speech data is available for testing and training. We list the most commonly used state-of-the-art methods of speaker recognition and the significance of prosodic speaker recognition. A short survey of SUSR is hereby conducted, highlighting various methodologies when using short utterances to recognize speakers. We also specify future research directions in the field SUSR which, together with modern technologies and the ongoing research in prosodic speaker recognition, can lead to better results in speaker recognition.
Keywords :
speaker recognition; SUSR; prosodic speaker recognition; short utterance speaker recognition; speech data; Acoustics; Hidden Markov models; Humans; Speaker recognition; Speech; Speech recognition; Training; Phoneme Categories; Prosodic Speaker Recognition; Short Utterance Speaker Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223381
Filename :
6223381
Link To Document :
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