DocumentCode :
478485
Title :
Non-Native Speaker Identity Verification Based on Speech
Author :
Wei, Hong ; Yang, Jian
Author_Institution :
Sch. of Inf. Sci. & Technol., Yunnan Univ., Kunming
Volume :
6
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
59
Lastpage :
62
Abstract :
Speaker identity verification is an useful biometric recognition approach. Native speaker verification has achieved some better effects. But non-native speaker verification remains a challenging task because of wide varieties of non-native accents. Based on two speech corpus, one native speech corpus and one non-native corpus, by means of speaker adaptation. Combined with traditional speaker verification and connected digits continuous speech recognition techniques, non-native speaker identity verification experiments are performed. The combined judging strategy is proved to be more effective by the final experimental results.
Keywords :
biometrics (access control); speaker recognition; speech processing; biometric recognition approach; connected digits continuous speech recognition techniques; nonnative speaker identity verification; speaker adaptation; Biometrics; Fingerprint recognition; Hidden Markov models; Information science; Iris; National security; Natural languages; Speaker recognition; Speech recognition; Stability; Connected Digits Speech Recognition; HMM; Non-native Speaker; Speaker Adaptation; Speaker Verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.574
Filename :
4667803
Link To Document :
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