Noise robust voice detector for speaker recognition

Author

Hernández, Gabriel ; Calvo, José R. ; Fernández, Rafael ; Rodes, Ivis ; Martinez, Ricardo

Author_Institution

Adv. Technol. Applic. Center, Cuba

fYear

2008

fDate

8-11 Dec. 2008

Firstpage

1

Lastpage

4

Abstract

The effect of additive noise in a speaker recognition system is well known to be a crucial problem in real life applications. In a speaker recognition system, if the test utterance is corrupted by any type of noise, the performance of the system notoriously degrades. The use of a noise robust voice detector to determine which audio frame is a voice frame is proposed in this work. The new detector is implemented using an Ada-Boosting algorithm in a voiced-unvoiced sound classifier based on speech waveform only. Results reflect better performance of robust speaker recognition based on selected voice segments, respects to unselected segments, in front to additive white noise.

Keywords

learning (artificial intelligence); signal classification; speaker recognition; white noise; Ada-Boosting algorithm; additive white noise; audio frame; noise robust voice detector; robust speaker recognition system; speech waveform; voice frame; voiced-unvoiced sound classifier; Acoustic noise; Additive white noise; Boosting; Detectors; Machine learning algorithms; Mel frequency cepstral coefficient; Noise robustness; Speaker recognition; Speech recognition; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Conference_Location

Tampa, FL

ISSN

1051-4651

Print_ISBN

978-1-4244-2174-9

Electronic_ISBN

1051-4651

Type

conf

DOI

10.1109/ICPR.2008.4761929

Filename

4761929