Speech recognition by dynamical noise model adaptation

Details Speech recognition by dynamical noise model adaptation Speech recognition by dynamical noise model adaptation

2005-09-27

2005-09-27

Ometz, David L. (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S233000, C704S256000, C704S228000

Reexamination Certificate

active

06950796

ABSTRACT:
The invention provides a Hidden Markov Model (132) based automated speech recognition system (100) that dynamically adapts to changing background noise by detecting long pauses in speech, and for each pause processing background noise during the pause to extract a feature vector that characterizes the background noise, identifying a Gaussian mixture component of noise states that most closely matches the extracted feature vector, and updating the mean of the identified Gaussian mixture component so that it more closely matches the extracted feature vector, and consequently more closely matches the current noise environment. Alternatively, the process is also applied to refine the Gaussian mixtures associated with other emitting states of the Hidden Markov Model.

REFERENCES:
patent: 5594834 (1997-01-01), Wang
patent: 5649057 (1997-07-01), Lee et al.
patent: 5664059 (1997-09-01), Zhao
patent: 5721808 (1998-02-01), Minami et al.
patent: 5956679 (1999-09-01), Komori et al.
patent: 5960395 (1999-09-01), Tzirkel-Hancock
patent: 5970446 (1999-10-01), Goldberg et al.
patent: 6026359 (2000-02-01), Yamaguchi et al.
patent: 6076057 (2000-06-01), Narayanan et al.
patent: 6078884 (2000-06-01), Downey
patent: 6108610 (2000-08-01), Winn
patent: 6131089 (2000-10-01), Campbell et al.
patent: 6188982 (2001-02-01), Chiang
patent: 6418411 (2002-07-01), Gong
patent: 6772117 (2004-08-01), Laurila et al.
patent: 6778959 (2004-08-01), Wu et al.
patent: 2001/0025276 (2001-09-01), Pao
patent: 2002/0062212 (2002-05-01), Nakatsuka
Reichl et al., “Discriminative Training for Continuous Speech Recognition”, Eurospeech-95, Madrid, Spain, Sep. 1995, pp. 537-540.

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