Multi-lingual speech recognition with cross-language context modeling
First Claim
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1. A method for selecting context-dependent units for speech recognition comprising:
- accepting a representation of the first word from a first language in terms of subword units from a first set of subword units that is associated with the first language, including accepting a first subword unit of the first word which is adjacent to the second word from a second language according to a speech recognition grammar;
determining a common set of features that characterize subword units in both the first set of subword units and in a second set of subword units that is associated with the second language; and
selecting one or more first context-dependent units corresponding to the first subword unit according to features in the common set of features of a second subword unit of the second word which is adjacent to the first word according to the grammar.
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Abstract
An approach to multi-lingual speech recognition that permits different words in an utterance to be from different languages. Words from different languages are represented using different sets of sub-word units that are each associate with the corresponding language. Despite the use of different sets of sub-word units, the approach enables use of cross-word context at boundaries between words from different languages (cross-language context) to select appropriate variants of the sub-word units to match the context.
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Citations
26 Claims
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1. A method for selecting context-dependent units for speech recognition comprising:
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accepting a representation of the first word from a first language in terms of subword units from a first set of subword units that is associated with the first language, including accepting a first subword unit of the first word which is adjacent to the second word from a second language according to a speech recognition grammar;
determining a common set of features that characterize subword units in both the first set of subword units and in a second set of subword units that is associated with the second language; and
selecting one or more first context-dependent units corresponding to the first subword unit according to features in the common set of features of a second subword unit of the second word which is adjacent to the first word according to the grammar. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. Software stored on computer readable media comprising instructions for causing a computer to perform functions comprising:
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accepting a representation of the first word from a first language in terms of subword units from a first set of subword units that is associated with the first language, including accepting a first subword unit of the first word which is adjacent to the second word from a second language according to a speech recognition grammar;
determining a common set of features that characterize subword units in both the first set of subword units and in a second set of subword units that is associated with the second language; and
selecting one or more first context-dependent units corresponding to the first subword unit according to features in the common set of features of a second subword unit of the second word which is adjacent to the first word according to the grammar.
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26. A method for selecting context-dependent units for speech recognition comprising:
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accepting a specification of sequences of subword units associated with a speech recognition grammar, including accepting a specification of at least one sequence of a first subword unit from a first language and a second subword unit from a second language;
determining values for the first and the second subword unit for each of a common set of features of subword units that are common to both the first and the second language; and
selecting a context-dependent variant of the first subword unit according to the values of features of the second subword unit that are in the common set of features.
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Specification