5th International Conference on Spoken Language Processing

Sydney, Australia
November 30 - December 4, 1998

Robust Automatic Continuous-Speech Recognition Based on a Voiced-Unvoiced Decision

Hesham Tolba, Douglas O'Shaughnessy

INRS-Telecommunications, Canada

In this paper, the implementation of a robust front-end to be used for a large-vocabulary Continuous Speech Recognition (CSR) system based on a Voiced-Unvoiced (V-U) decision has been addressed. Our approach is based on the separation of the speech signal into voiced and unvoiced components. Consequently, speech enhancement can be achieved through processing of the voiced and the unvoiced components separately. Enhancement of the voiced component is performed using an adaptive comb filtering, whereas the unvoiced component is enhanced using the modified spectral subtraction approach. We proved via experiments that the proposed CSR system is robust in additive noisy environments (SNR down to 0 dB).

Full Paper

Bibliographic reference.  Tolba, Hesham / O'Shaughnessy, Douglas (1998): "Robust automatic continuous-speech recognition based on a voiced-unvoiced decision", In ICSLP-1998, paper 0342.