Exemplar-based joint channel and noise compensation

Jort F. Gemmeke, Tuomas Virtanen, Kris Demuynck
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
In this paper two models for channel estimation in exemplar-based noise robust speech recognition are proposed. Building on a compositional model that models noisy speech and a combination of noise and speech atoms, the first model iteratively estimates a filter to best compensate the mismatch with the observed noisy speech. The second model estimates separate filters for the noise and speech atoms. We show that both models enable noise-robust ASR even if the channel characteristics of the
more » ... speech do not match those of the exemplars in the dictionary. Moreover, the second model, which is able to estimate separate filters for speech and noise, is shown to be robust even in the presence of bandwidth-limited sources.
doi:10.1109/icassp.2013.6637772 dblp:conf/icassp/GemmekeVD13 fatcat:v4cndeq44jh4bemrysr3pa56qm