Incremental predictive and adaptive noise compensation

F. Flego, M.J.F. Gales
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
Model compensation schemes are a powerful approach to handling mismatches between training and testing conditions. Normally these schemes are run in a batch adaptation mode, re-recognising the utterance used to estimate the noise model parameters. For many applications this introduces unacceptable latency. This paper examines three forms of incremental mode model-based compensation: vector Taylor series; joint uncertainty decoding; and predictive CM-LLR. These predictive schemes can also be
more » ... ined with adaptive schemes such as CMLLR. By combining the approaches, weaknesses of each can be addressed. The performance is evaluated on in-car recorded data, where the combined incremental scheme shows gains over either individually.
doi:10.1109/icassp.2009.4960464 dblp:conf/icassp/FlegoG09 fatcat:2rhbgr2gezhkbppkgx3huiwaqm