Methods and apparatus for context adaptation of speech-to-speech translation systems
First Claim
1. A method of context adaptation of a speech-to-speech translation system comprising the steps of:
- extracting a plurality of sets of paralinguistic attribute values from a plurality of input signals, wherein each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers;
generating a final set of paralinguistic attribute values for the plurality of input signals from the plurality of sets of paralinguistic attribute values; and
modifying performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system in accordance with the final set of paralinguistic attribute values for the plurality of input signals.
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Abstract
A technique for context adaptation of a speech-to-speech translation system is provided. A plurality of sets of paralinguistic attribute values is obtained from a plurality of input signals. Each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers. A final set of paralinguistic attribute values is generated for the plurality of input signals from the plurality of sets of paralinguistic attribute values. Performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system is modified in accordance with the final set of paralinguistic attribute values for the plurality of input signals.
47 Citations
20 Claims
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1. A method of context adaptation of a speech-to-speech translation system comprising the steps of:
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extracting a plurality of sets of paralinguistic attribute values from a plurality of input signals, wherein each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers; generating a final set of paralinguistic attribute values for the plurality of input signals from the plurality of sets of paralinguistic attribute values; and modifying performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system in accordance with the final set of paralinguistic attribute values for the plurality of input signals. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A context adaptable speech-to-speech translation system comprising:
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a plurality of classifiers, wherein each of the plurality of classifiers receives a corresponding input signal and generates a corresponding set of paralinguistic attribute values; a fusion module that receives a plurality of sets of paralinguistic attribute values from the plurality of classifiers and generates a final set of paralinguistic attribute values; and speech-to-speech translation modules comprising a speech recognition module, a translation module, and a text-to-speech module, wherein performance of at least one of the speech recognition module, the translation module and the text-to-speech module are modified in accordance with the final set of paralinguistic attribute values for the plurality of input signals. - View Dependent Claims (15, 16, 17, 18, 19)
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20. An article of manufacture for context adaptation of a speech-to-speech translation system, comprising a machine readable medium containing one or more programs which when executed implement the steps of:
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extracting a plurality of sets of paralinguistic attribute values from a plurality of input signals, wherein each set of the plurality of sets of paralinguistic attribute values is extracted from a corresponding input signal of the plurality of input signals via a corresponding classifier of a plurality of classifiers; generating a final set of paralinguistic attribute values for the plurality of input signals from the plurality of sets of paralinguistic attribute values; and modifying performance of at least one of a speech recognition module, a translation module and a text-to-speech module of the speech-to-speech translation system in accordance with the final set of paralinguistic attribute values for the plurality of input signals.
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Specification