Dynamic language model
First Claim
1. A method comprising:
- receiving a base language model for speech recognition, the base language model including a first word sequence having a base probability value;
receiving a voice search query, the voice search query being associated with a query context;
determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model;
obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value, the adjusted probability value being the base probability value adjusted according to the query context; and
converting the voice search query to a text search query based on one or more probabilities, each of the one or more probabilities corresponding to a word sequence in a group of one or more word sequences, the group of one or more word sequences including the first word sequence having the adjusted probability value.
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Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving a base language model for speech recognition including a first word sequence having a base probability value; receiving a voice search query associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the probabilities corresponding to a word sequence in a group of one or more word sequences, the group including the first word sequence having the adjusted probability value.
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Citations
18 Claims
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1. A method comprising:
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receiving a base language model for speech recognition, the base language model including a first word sequence having a base probability value; receiving a voice search query, the voice search query being associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value, the adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the one or more probabilities corresponding to a word sequence in a group of one or more word sequences, the group of one or more word sequences including the first word sequence having the adjusted probability value. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising; receiving a base language model for speech recognition, the base language model including a first word sequence having a base probability value; receiving a voice search query, the voice search query being associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value, the adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the one or more probabilities corresponding to a word sequence in a group of one or more word sequences, the group of one or more word sequences including the first word sequence having the adjusted probability value.
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18. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that are operable, when executed by data processing apparatus, to cause the data processing apparatus to perform operations comprising:
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receiving a base language model for speech recognition, the base language model including a first word sequence having a base probability value; receiving a voice search query, the voice search query being associated with a query context; determining that a customized language model is to be used when the query context satisfies one or more criteria associated with the customized language model; obtaining the customized language model, the customized language model including the first word sequence having an adjusted probability value, the adjusted probability value being the base probability value adjusted according to the query context; and converting the voice search query to a text search query based on one or more probabilities, each of the one or more probabilities corresponding to a word sequence in a group of one or more word sequences, the group of one or more word sequences including the first word sequence having the adjusted probability value.
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Specification