Speech recognition using discriminant features
First Claim
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1. A method of facilitating speech recognition, said method comprising the steps of:
- obtaining speech input data;
building a model for each feature of an original set of features;
ranking the features; and
building a model for each of a preselected number N of the ranked features.
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Abstract
Methods and arrangements for representing the speech waveform in terms of a set of abstract, linguistic distinctions in order to derive a set of discriminative features for use in a speech recognizer. By combining the distinctive feature representation with an original waveform representation, it is possible to achieve a reduction in word error rate of 33% on an automatic speech recognition task.
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Citations
25 Claims
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1. A method of facilitating speech recognition, said method comprising the steps of:
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obtaining speech input data;
building a model for each feature of an original set of features;
ranking the features; and
building a model for each of a preselected number N of the ranked features. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. An apparatus for facilitating speech recognition, said apparatus comprising:
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an input medium which obtains speech input data;
a first model builder which builds a model for each feature of an original set of features;
a ranking arrangement which ranks the features; and
a second model builder which builds a model for each of a preselected number N of the ranked features. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for speech recognition, said method comprising the steps of:
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obtaining speech input data;
building a model for each feature of an original set of features;
ranking the features; and
building a model for each of a preselected number N of the ranked features.
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Specification