Speech signal processing responsive to low noise levels
AssigneeGeneral Motors Corporation
InventorsGaurav Talwar, Robert D. Sims
Life of this patent
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Abstract
A method of speech recognition in a vehicle. Audio including noise and a speech signal representative of an utterance from a user is received via a microphone, and a signal-to-noise ratio (SNR) for the received audio is calculated using a processor. It is determined whether the calculated SNR is greater than a predetermined SNR. If so, then a noise distribution is identified for addition to the received audio, and noise corresponding to the identified noise distribution is injected into the received audio to produce noise-injected audio including the speech signal.
Claims15
A method of speech recognition in a vehicle, the method comprising the steps of:
- (a) receiving, via a microphone, audio including noise and a speech signal representative of an utterance from a user;
- (b) calculating, via a processor, a signal-to-noise ratio (SNR) for the received audio;
- (c) determining whether the calculated SNR is greater than a predetermined SNR and, if so, then;
- (d) identifying a noise distribution for addition to the received audio;
- and
- (e) injecting into the received audio, noise corresponding to the identified noise distribution to produce noise-injected audio including the speech signal.
A method of speech recognition in a vehicle, the method comprising the steps of:
- (a) receiving, via a microphone, audio including noise and a speech signal representative of an utterance from a user;
- (b) calculating, via a processor, a signal-to-noise ratio (SNR) for the received audio;
- (c) determining whether the calculated SNR is greater than a vehicle-specific predetermined SNR and, if so, then;
- (d) identifying a vehicle-specific noise distribution for addition to the received audio;
- (e) injecting into the received audio, noise corresponding to the identified noise distribution to produce noise-injected audio including the speech signal;
- (f) pre-processing the noise-injected audio to generate acoustic feature vectors;
- (g) decoding the generated acoustic feature vectors to produce hypotheses for the user utterance in the speech signal;
- and
- (h) post-processing the hypotheses to identify the utterance.
Dependencies are inferred from the claim text.