Selective noise/channel/coding models and recognizers for automa

Details Selective noise/channel/coding models and recognizers for automa Selective noise/channel/coding models and recognizers for automa

1997-11-25

1999-10-19

Dorvil, Richemond

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704235, G10L 708

Patent

active

059704462

ABSTRACT:
An apparatus and method for the robust recognition of speech during a call in a noisy environment is presented. Specific background noise models are created to model various background noises which may interfere in the error free recognition of speech. These background noise models are then used to determine which noise characteristics a particular call has. Once a determination has been made of the background noise in any given call, speech recognition is carried out using the appropriate background noise model.

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