Robust Speech Recognition for Unknown Communication Channels Pont-à-Mousson, France April 17-18, 1997

Application of VTS to Environment Compensation With Noise Statistics

Nam Soo Kim, Do Yeong Kim, Byung Goo Kong, Sang Ryong Kim

Human & Computer Interaction Lab., Information Processing Sector, Samsung Advanced Institute of Technology, Suwon, Korea

Recently, the vector Taylor series (VTS) approach was proposed as an efficient method for robust speech recognition under various environmental conditions. The VTS approach makes an approximation to the speech contamination procedure by a linearized model and estimates the parameter values using the expectation-maximization (EM) algorithm. In this paper, we apply the VTS approach to environment compensation with assumed noise statistics. In addition, we present a Bayesian adaptation technique with which we can incorporate the a priori knowledge about the noise statistics to the parameter estimation procedure.

Full Paper

Bibliographic reference.  Kim, Nam Soo / Kim, Do Yeong / Kong, Byung Goo / Kim, Sang Ryong (1997): "Application of VTS to environment compensation with noise statistics", In RSR-1997, 99-102.