EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


A Robust Front-End Algorithm for Distributed Speech Recognition

Yan Ming Cheng, Dusan Macho, Yuanjun Wei, Douglas Ealey, Holly Kelleher, David Pearce, William Kushner, Tenkasi Ramabadran

Motorola Labs, USA

This paper presents the robust front-end algorithm that was submitted by Motorola to the ETSI STQ-Aurora DSR working group as a proposal for the Advanced DSR front-end in January 2001. The algorithm consists of a two-stage mel-warped Wiener filter, a waveform processor, a channel-normalized mel-frequency cepstral calculation and a subsystem of post-cepstral processing according to the reliability of mel-spectral components, etc. The output of this algorithm, a set of Mel-Frequency Cepstral Coefficients (MFCC), is compressed, encoded and transmitted at 4800 bps. Compared to ETSI standard MFCC front-end, the proposed algorithm delivers an improvement of 47.58% on the Aurora 2 database, which is required by this Eurospeech special event. In this paper we also give further insights about the proposal by providing performances and analyses with the Aurora SpeechDat-Car databases.

Full Paper

Bibliographic reference.  Cheng, Yan Ming / Macho, Dusan / Wei, Yuanjun / Ealey, Douglas / Kelleher, Holly / Pearce, David / Kushner, William / Ramabadran, Tenkasi (2001): "A robust front-end algorithm for distributed speech recognition", In EUROSPEECH-2001, 425-428.