SYSTEM AND METHOD FOR UNSUPERVISED AND ACTIVE LEARNING FOR AUTOMATIC SPEECH RECOGNITION

摘要

A system and method is provided for combining active and unsupervised learning for automatic speech recognition. This process enables a reduction in the amount of human supervision required for training acoustic and language models and an increase in the performance given the transcribed and un-transcribed data.

主权项

1. A computer-implemented method performed by a processor, the method comprising:
identifying, in a database of utterances, transcribed utterances and un-transcribed utterances; ordering, via the processor, transcription candidate utterances from the un-transcribed utterances based on confidence scores of the transcription candidate utterances, to yield a selectively sampled order; transcribing, via the processor, a top n utterances from the selectively sampled order, to yield additional transcribed utterances; receiving human-transcribed utterances, wherein the human-transcribed utterances are selected from the selectively sampled order for human transcription based on the confidence scores; adding the additional transcribed utterances and the human-transcribed utterances to the database of utterances; and training acoustic and language models using the additional transcribed utterances and the human-transcribed utterances.