2015
Switching to and combining offline-adapted cluster acoustic models based on unsupervised segment classification
ICASSP 2015accepted
The performance of automatic speech recognition system degrades significantly when the incoming audio differs from training data. Maximum likelihood linear regression has been widely used for unsupervised adaptation, usually in a multiple-pass recognition process. Here we present a novel adaptation…