Hidden trajectory modeling with differential cepstra for speech recognition
First Claim
1. A method comprising:
- receiving a speech input;
generating an interpretation of the speech input using hidden trajectory modeling with one or more observation vectors that are based at least in part on cepstra and on differential cepstra derived from the cepstra; and
providing an output based at least in part on the interpretation of the speech input.
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Abstract
A novel system for speech recognition uses differential cepstra over time frames as acoustic features, together with the traditional static cepstral features, for hidden trajectory modeling, and provides greater accuracy and performance in automatic speech recognition. According to one illustrative embodiment, an automatic speech recognition method includes receiving a speech input, generating an interpretation of the speech, and providing an output based at least in part on the interpretation of the speech input. The interpretation of the speech uses hidden trajectory modeling with observation vectors that are based on cepstra and on differential cepstra derived from the cepstra. A method is developed that can automatically train the hidden trajectory model'"'"'s parameters that are corresponding to the components of the differential cepstra in the full acoustic feature vectors.
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Citations
20 Claims
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1. A method comprising:
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receiving a speech input; generating an interpretation of the speech input using hidden trajectory modeling with one or more observation vectors that are based at least in part on cepstra and on differential cepstra derived from the cepstra; and providing an output based at least in part on the interpretation of the speech input. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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- 11. A computer-readable medium having computer-executable instructions which, when executed by a computing device, enable the computing device to use time-ordered differences in observation trajectory cepstra and time-ordered differences in vocal tract resonance trajectory cepstra to evaluate a probability of an observed value corresponding to a hidden trajectory value.
- 19. A device comprising an executable application for a speech recognition application that comprises a hidden trajectory model with parameters trained using cepstra and differential cepstra.
Specification