Method of speech recognition resistant to convolutive distortion and additive distortion
AssigneeTexas Instruments Incorporated
InventorYifan Gong
Life of this patent
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Abstract
A speech recognizer operating in both ambient noise (additive distortion) and microphone changes (convolutive distortion) is provided. For each utterance to be recognized the recognizer system adapts HMM mean vectors with noise estimates calculated from pre-utterance pause and a channel estimate calculated using an Estimation Maximization algorithm from previous utterances.
Claims17
A speech recognizer comprising:
- a microphone for receiving speech utterances and pauses;
- models for recognizing speech;
- a model adjustor responsive to said models for providing adjusted models;
- said adjusted models having their parameters simultaneously adjusted to handle distortion introduced by convolutive and additive components;
- and
- a recognizer coupled to said microphone and responsive to adjusted models for recognizing speech.
A method of speech recognition comprising the steps of:
- receiving input speech and non-speech at a microphone, providing initial HMM models;
- recognizing speech utterances one by one and performing adjustment of internal parameters at the same time without additional data collection wherein said recognizing step includes modifying mean vectors of said HMM models with current estimates compensating for static MFCC, first order dynamic MFCC and second order MFCC.
A speech recognizer operating in both ambient noise (additive distortion) and channel changes (convolutive distortion) comprising:
- HMM models and
- a model adjustor coupled to a recognizer responsive to said HMM models for each utterance to be recognized adapting HMM mean vectors with noise estimates calculated from pre-utterance pause and a channel estimate calculated using an Estimation Maximization algorithm from previous utterances.
A method of speech recognition comprising the steps of:
- receiving input speech and non-speech at a microphone, providing initial HMM models;
- recognizing speech utterances one by one and performing adjustment of internal parameters for convolutive distortion and additive distortion at the same time without additional data collection.
Dependencies are inferred from the claim text.