On the robustness of the critical-band adaptive filtering method for multi-source noisy speech recognition
Nokas George, Evangelos Dermatas, George C. Kokkinakis · 1997
In extensive experiments, the recognition score of a speaker independent isolated word speech recognition system based on a continuous density HMM (CDHMM) has been measured in the presence of real life noises in various SNRs. In all experiments the results show improvement in the mean recognition score when the subband adaptive filtering LMS method is used in comparison to the full-band LMS method. This improvement increases when changing types of noise distort the speech signal.