Pattern recognition training method and apparatus using...

Details Pattern recognition training method and apparatus using... Pattern recognition training method and apparatus using...

2005-04-05

2005-04-05

Dorvil, Richemond (Department: 2654)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S243000

Reexamination Certificate

active

06876966

ABSTRACT:
A method and apparatus for training and using a pattern recognition model are provided. Under the invention, additive noise that matches noise expected in a test signal is included in a training signal. The noisy training signal is passed through one or more noise reduction techniques to produce pseudo-clean training data. The pseudo-clean training data is used to train the pattern recognition model. When the test signal is received, it is passed through the same noise reduction techniques used on the noisy training signal. This produces pseudo-clean test data, which is applied to the pattern recognition model. Under one embodiment, sets of training data are produced with each set containing a different type of noise.

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Sameti et al., “HMM-based strategies for enhancement of speech signals embedded in nonstationary noise,” IEEE Transactions on Speech and Audio Processing, vol. 6, Issue 5, Sep. 1998, pp. 445 to 455.*
Neumeyer, L. and Weintraub, M. “Probabilistic Optimum Filtering For Robust Speech Recognition,” Acoustics, Speech and Signal Processing, ICASSP-94, p. 417-420, Apr. 1994.

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