DocumentCode :
2696586
Title :
Using a Vocal Tract Length Related Parameter for Speaker Recognition
Author :
Grashey, Stephan ; Geissler, C.
Author_Institution :
Corporate Technol., Siemens AG, Munich
fYear :
2006
fDate :
28-30 June 2006
Firstpage :
1
Lastpage :
5
Abstract :
The use of a parameter related to the vocal tract length of humans is investigated for a speaker recognition system. This parameter is a warping factor for the frequency spectrum and it was determined from a vocal tract length normalization module of an automatic speech recognizer. A decision fusion approach WHS used to combine the output of the stand-alone speaker verification with a separate classifier for the warping factor. The fused system exhibits a relative improvement of 23% compared to the stand-alone system
Keywords :
decision theory; feature extraction; pattern classification; speaker recognition; speech processing; WHS; automatic speech recognizer; decision fusion approach; frequency spectrum; speaker recognition system; stand-alone speaker verification; vocal tract length; warping factor; Automatic speech recognition; Cepstral analysis; Discrete cosine transforms; Feature extraction; Finite impulse response filter; Forensics; Humans; Linear predictive coding; Mel frequency cepstral coefficient; Speaker recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speaker and Language Recognition Workshop, 2006. IEEE Odyssey 2006: The
Conference_Location :
San Juan
Print_ISBN :
1-424400471-1
Electronic_ISBN :
1-4244-0472-X
Type :
conf
DOI :
10.1109/ODYSSEY.2006.248086
Filename :
4013503
Link To Document :
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