8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


An Accurate Noise Compensation Algorithm in the Log-Spectral Domain for Robust Speech Recognition

Mohamed Afify

Cairo University, Egypt

This paper presents an algorithm for noise compensation in the log-spectral domain. The idea is based on the use of accurate approximations which allow theoretical derivations of the noisy speech statistics, and using these statistics to define a compensation algorithm under a Gaussian mixture model assumption. The algorithm is tested on a digit data base recorded in the car, the word recognition accuracies for the baseline (uncompensated), first order VTS, the proposed method, and the matched test, are 85.8%, 90.6%, 93.1%, and 93.9% respectively. This clearly indicates the performance gain due to the proposed technique.

Full Paper

Bibliographic reference.  Afify, Mohamed (2003): "An accurate noise compensation algorithm in the log-spectral domain for robust speech recognition", In EUROSPEECH-2003, 3037-3040.