Title :
Speech/nonspeech discrimination for speech recognition system under real life noise environments
Author :
Kobatake, Hidefumi ; Tawa, Katsuhisa ; Ishida, Akira
Author_Institution :
Fac. of Technol., Tokyo Univ. of Agric. & Technol., Japan
Abstract :
A method to identify speech segments in noisy environments is presented. It consists of two subsystems: one is for segmentation of a nonstationary signal corrupted by a stationary background noise, and the other is for discrimination of the nonstationary segment, whether it is speech or not. The proposed segmentation method is sensitive enough to detect weak consonants at word initials correctly. Feature parameters effective for speech/nonspeech discrimination are presented
Keywords :
speech recognition; nonstationary signal segmentation; real life noise environments; speech recognition; speech segments; speech/nonspeech discrimination; stationary background noise; weak consonants; Agriculture; Background noise; Degradation; Noise robustness; Predictive models; Signal to noise ratio; Speech enhancement; Speech processing; Speech recognition; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
DOI :
10.1109/ICASSP.1989.266441
