Title :
Dual-channel auditory spectrum modeling
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Abstract :
We propose a new approach to the modeling of speech based on cues from the peripheral auditory system. Our approach attempts to incorporate the dynamic adaptation of biological auditory systems to varying sound by simplistically formulating a dual-processing strategy that treats unvoiced and voiced speech as deserving of different processing. Preliminary studies show that this approach possesses significant noise robustness
Keywords :
hearing; spectral analysis; speech processing; speech recognition; acoustic environments; automatic speech recognition; biological auditory systems; dual channel auditory spectrum modeling; dual processing strategy; dynamic adaptation; mel-frequency cepstrum; noise robustness; peripheral auditory system; speech modeling; voiced speech; Acoustic noise; Auditory system; Automatic speech recognition; Biological system modeling; Biomedical signal processing; Biomembranes; Degradation; Filtering; Noise robustness; Speech processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.596107