ASR for Under-Resourced Languages From Probabilistic Transcription.

Daniel McCloy
Daniel McCloy
Giovanni M. di Liberto
Giovanni M. di Liberto
Amit Das
Amit Das
Bradley Ekin
Bradley Ekin

IEEE/ACM Trans. Audio, Speech & Language Processing, no. 1 (2017): 46-59

Cited by: 26|Views76
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Abstract:

In many under-resourced languages it is possible to find text, and it is possible to find speech, but transcribed speech suitable for training automatic speech recognition ASR is unavailable. In the absence of native transcripts, this paper proposes the use of a probabilistic transcript: A probability mass function over possible phonetic ...More

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