Speech recognition system and method using a hidden markov model

Details Speech recognition system and method using a hidden markov model Speech recognition system and method using a hidden markov model

1996-07-02

1998-08-25

Hudspeth, David R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704 3, 704232, G10L 500

Patent

active

057992789

ABSTRACT:
A speech recognition system for discrete words uses a single Hidden Markov Model (HMM), which is nominally adapted to recognise N different isolated words, but which is trained to recognise M different words, where M>N. This is achieved by providing M sets of audio recordings, each set comprising multiple recordings of a respective one of said M words being spoken. Only N different labels are assigned to the M sets of audio recordings, so that at least one of the N labels has two or more sets of audio recordings assigned thereto. These two or more sets of audio recordings correspond to phonetically dissimilar words. The HMM is then trained by inputting each set of audio recordings and its assigned label. The HMM can effectively compensate for the phonetic variations between the different words assigned the same label, thereby avoiding the need to utilise a larger model (i.e., to use M labels).

REFERENCES:
patent: 5046099 (1991-09-01), Nishimura
patent: 5502791 (1996-03-01), Nishimura et al.
patent: 5526465 (1996-06-01), Carey et al.
patent: 5572624 (1996-11-01), Sejnoha
patent: 5615301 (1997-03-01), Rivers

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