Speech recognition using polynomial expansion and hidden...

Details Speech recognition using polynomial expansion and hidden... Speech recognition using polynomial expansion and hidden...

2005-08-09

2005-08-09

Chawan, Vijay B. (Department: 2654)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S243000, C704S242000, C704S254000, C704S231000

Reexamination Certificate

active

06928409

ABSTRACT:
A speech recognition system (10) having a sampler block (12) and a feature extractor block (14) for extracting time domain and spectral domain parameters from a spoken input speech into a feature vector. A polynomial expansion block (16) generates polynomial coefficients from the feature vector. A correlator block (20), a sequence vector block (22), an HMM table (24) and a Viterbi block (26) perform the actual speech recognition based on the speech units stored in a speech unit table (18) and the HMM word models stored in the HMM table (24). The HMM word model that produces the highest probability is determined to be the word that was spoken.

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