7th International Conference on Spoken Language Processing
September 16-20, 2002
This paper describes a noise-robust front-end designed within a collaboration of Motorola, France Télécom and Alcatel for the ETSI standardization of the advanced front-end for distributed speech recognition (DSR). The proposed algorithm is based on the cumulative knowledge in the three companies’ history in the areas of noise reduction, speech enhancement as well as other related fields. The major components of this algorithm are noise reduction, waveform processing, cepstrum calculation, blind equalization, and voice-activity detection. In the evaluation of the proposed front-end on Aurora 2 and Aurora 3 databases we obtained an average error rate reduction of 52.75% and 51.51%, respectively, when compared to the WI007 ETSI MFCC-based DSR front-end performance.
Bibliographic reference. Macho, Duncan / Mauuary, Laurent / Noé, Bernhard / Cheng, Yan Ming / Ealey, Doug / Jouvet, Denis / Kelleher, Holly / Pearce, David / Saadoun, Fabien (2002): "Evaluation of a noise-robust DSR front-end on Aurora databases", In ICSLP-2002, 17-20.