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Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/1117

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Title: Discriminating semi-continuous HMM for speaker verification
Authors: Forsyth, Mark
Jack, Mervyn A
Issue Date: Apr-1994
Citation: Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on, Volume i, 19-22 April 1994 Page(s):I/313 - I/316.
Publisher: IEEE
Abstract: This paper describes the use of a multiple codebook SCHMM speaker verification system, which uses a novel technique for discriminative hidden Markov modelling known as discriminative observation probabilities (DOP). DOP can easily be added to a multiple codebook HMM system and require minimal additional computation and no additional training. The DOP technique can be applied to both speech and speaker recognition. Results are presented for text-dependent experiments on isolated digits from 27 true speakers and 84 casual imposters, recorded over the public telephone network in the United Kingdom. DOP are shown to significantly improve speaker verification performance for several commonly used parameter sets.
Gov't Doc #: Digital Object Identifier 10.1109/ICASSP.1994.389293
URI: http://ieeexplore.ieee.org/
http://hdl.handle.net/1842/1117
ISSN: 1520-6149
Appears in Collections:CSTR publications

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