Automatic Transcription of Unknown Words in a Speech Recognition System

R. Haeb-Umbach, P. Beyerlein, E. Thelen, in: ICASSP, Detroit, 1995.

Conference Paper | English
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Abstract
We address the problem of automatically finding an acoustic representation (i.e. a transcription) of unknown words as a sequence of subword units, given a few sample utterances of the unknown words, and an inventory of speaker-independent subword units. The problem arises if a user wants to add his own vocabulary to a speaker-independent recognition system simply by speaking the words a few times. Two methods are investigated which are both based on a maximum-likelihood formulation of the problem. The experimental results show that both automatic transcription methods provide a good estimate of the acoustic models of unknown words. The recognition error rates obtained with such models in a speaker-independent recognition task are clearly better than those resulting from separate whole-word models. They are comparable with the performance of transcriptions drawn from a dictionary.
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ICASSP, Detroit
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Haeb-Umbach R, Beyerlein P, Thelen E. Automatic Transcription of Unknown Words in a Speech Recognition System. In: ICASSP, Detroit. ; 1995.
Haeb-Umbach, R., Beyerlein, P., & Thelen, E. (1995). Automatic Transcription of Unknown Words in a Speech Recognition System. In ICASSP, Detroit.
@inproceedings{Haeb-Umbach_Beyerlein_Thelen_1995, title={Automatic Transcription of Unknown Words in a Speech Recognition System}, booktitle={ICASSP, Detroit}, author={Haeb-Umbach, Reinhold and Beyerlein, P. and Thelen, E.}, year={1995} }
Haeb-Umbach, Reinhold, P. Beyerlein, and E. Thelen. “Automatic Transcription of Unknown Words in a Speech Recognition System.” In ICASSP, Detroit, 1995.
R. Haeb-Umbach, P. Beyerlein, and E. Thelen, “Automatic Transcription of Unknown Words in a Speech Recognition System,” in ICASSP, Detroit, 1995.
Haeb-Umbach, Reinhold, et al. “Automatic Transcription of Unknown Words in a Speech Recognition System.” ICASSP, Detroit, 1995.

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