MVDR based feature extraction for speech recognition

Details MVDR based feature extraction for speech recognition MVDR based feature extraction for speech recognition

2006-03-21

2006-03-21

Abebe, Daniel (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S250000

Reexamination Certificate

active

07016839

ABSTRACT:
There is provided a method for extracting feature vectors from a digitized utterance. Spectral envelope estimates are computed from overlapping frames in the digitized utterance based on a Minimum Variance Distortionless Response (MVDR) method. Cepstral feature vectors are generated from the spectral envelope estimates. There is provided a method for generating spectral envelope estimates from a digitized utterance. The spectral envelope estimates are generated from overlapping frames in the digitized utterance based on a harmonic mean of at least two low- to-high resolution spectrum estimates. There is provided a method for reducing variance of a feature stream in a pattern recognition system. The feature stream is temporally or spatially averaged to reduce the variance of the feature stream.

REFERENCES:
patent: 4866777 (1989-09-01), Mulla et al.
patent: 5182773 (1993-01-01), Bahl et al.
patent: 6161089 (2000-12-01), Hardwick
Bhaskar et al. “MVDR based all-pole modeling: . . . ” dept. of electrical and computer engineering 1999 IEEE, pp 31-33.

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