2017
Personalized acoustic modeling by weakly supervised multi-task deep learning using acoustic tokens discovered from unlabeled data
ICASSP 2017accepted
It is well known that recognizers personalized to each user are much more effective than user-independent recognizers. With the popularity of smartphones today, although it is not difficult to collect a large set of audio data for each user, it is difficult to transcribe it. However, it is now possi…