Method and system for adaptive speech recognition in a noisy environment
First Claim
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1. A method of speech recognition comprising the steps of:
- performing a one time channel adaptation of initial Hidden Markov Models for all successive speech utterances to provide channel adapted Hidden Markov Models;
determining background noise for each utterance in a time period adjacent speech to be recognized;
adapting channel adapted Hidden Markov Models to the determined background noise for each utterance to get channel and noise adapted target Hidden Markov Models; and
recognizing speech adjacent to the determined background noise using said channel and noise adapted target Hidden Markov Models.
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Abstract
The system uses utterances recorded in low noise condition, such as a car engine off to optimally adapt speech acoustic models to transducer and speaker characteristics and uses speech pauses to adjust the adopted models to a changing background noise, such as when in a car with the engine running.
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Citations
13 Claims
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1. A method of speech recognition comprising the steps of:
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performing a one time channel adaptation of initial Hidden Markov Models for all successive speech utterances to provide channel adapted Hidden Markov Models;
determining background noise for each utterance in a time period adjacent speech to be recognized;
adapting channel adapted Hidden Markov Models to the determined background noise for each utterance to get channel and noise adapted target Hidden Markov Models; and
recognizing speech adjacent to the determined background noise using said channel and noise adapted target Hidden Markov Models. - View Dependent Claims (2, 3, 4)
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5. A method of speech recognition comprising the steps of:
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performing one time channel, then gender, then speaker sequence adaptation of initial Hidden Markov Models for all successive speech utterances to provide target channel, gender, and speaker adapted Hidden Markov Models;
determining background noise for each utterance in a time period adjacent speech to be recognized;
adapting target channel, gender, and speaker adapted Hidden Markov Models to the determined background noise to get channel, gender, speaker and noise adapted target Hidden Markov Models; and
recognizing speech adjacent to the determined background noise using said channel, gender, speaker and noise adapted target Hidden Markov Models. - View Dependent Claims (6)
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7. A method of speech recognition comprising the steps of:
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determining background noise in a time period adjacent speech to be recognized;
adapting Hidden Markov Models to determine background noise to get noise adapted Hidden Markov Models; and
recognizing speech adjacent to the determined background noise using said noise adapted target Hidden Markov Models, said step of determining background noise is just prior to receiving an utterance to be recognized; and
said step of determining background noise includes the step of storing background noise after a key to talk switch is operated and before any utterance is received. - View Dependent Claims (8)
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9. A system for speech recognition comprising:
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a background noise sensor responsive to background noise of the speaker for speech recognition;
a noise adapter responsive to said background noise for adapting Hidden Markov Models to said sensed noise;
a speech recognizer responsive to the speech of said speaker and said noise adapted Hidden Markov Models for recognizing speech of said speaker; and
said sensor includes means responsive to a key to talk switch for sensing said noise and delay indicator device for notifying the speaker to speak after keying the speech to talk switch. - View Dependent Claims (10, 11, 12, 13)
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Specification