Speaker-dependent recognition of voice command embedded in arbitrary utterance
First Claim
1. A method of speaker-dependent voice command recognition comprising the steps of:
- providing a hybrid of sentence network and Gaussian mixture models with a shared pool of distributions; and
performing an out-of-vocabulary procedure based on the score difference between a top candidate and background model over the recognized in-vocabulary word.
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Abstract
A method of speaker-dependent voice command recognition is provided that includes providing a hybrid of sentence network and Gaussian mixture models with a shared pool of distributions and performing an out-of-vocabulary procedure based on the score difference between a top candidate and background model over the recognized in-vocabulary word. The network is a three section network to represent speech embedded in extra speech where first and last sections are intended to absorb extra- speech and the middle section to match with in-vocabulary speech. An utterance is accepted as containing in-vocabulary word based on a rejection parameter, which has several alternative forms.
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Citations
12 Claims
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1. A method of speaker-dependent voice command recognition comprising the steps of:
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providing a hybrid of sentence network and Gaussian mixture models with a shared pool of distributions; and
performing an out-of-vocabulary procedure based on the score difference between a top candidate and background model over the recognized in-vocabulary word. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification