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