An N-best strategy, dynamic grammars and selectively trained neural networks for real-time recognition of continuously spelled names over the telephone

Junqua, Jean-Claude, Valente, Stéphane; Fohr, Dominique; Mari, Jean-François
ICASSP 1995, IEEE International Conference on Acoustics, Speech, and Signal Processing, May 9-12, 1995, Detroit, Michigan, USA

We introduce SmarTspelL, a new speaker-independent algorithm to recognize continuously spelled names over the telephone. Our method is based on an N-best multi-pass recognition strategy applying costly constraints when the number of possible candidates is low. This strategy outperforms an HMM recognizer using a grammar containing all the possible names. It is also more suitable to real-time implementation. For a 3388 name dictionary, a 95.3% name recognition rate is obtained. A real-time prototype has been implemented on a workstation. We also present comparisons of different feature sets for speech representation, and two speech recognition approaches based on first- and second-order HMMs.


DOI
Type:
Conference
City:
Detroit
Date:
1995-05-09
Department:
Digital Security
Eurecom Ref:
5158
Copyright:
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