Speech input search system
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Abstract
A language model 114 for speech recognition is developed from a text database 122 through offline modeling 130 (solid line arrow). A transcript is generated online by executing a speech recognition processing 110 using an acoustic model 112 and a language model 114 when a user utters a retrieval request. Next, a text retrieval processing 120 is executed using the transcribed retrieval request, and then outputs the retrieval results in order from the most relevant. Information is then acquired from the top-ranked texts of the retrieval results and is subjected to modeling 130, the speech recognition language model is refined (dotted line arrow), and speech recognition and text retrieval are then carried out again. This allows improvement in accuracy of recognition and retrieval compared to the initial retrieval.
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Citations
7 Claims
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1. (Canceled)
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2. A speech input retrieval system, which retrieves in response to a query input by speech, comprising:
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a speech recognition means, which performs speech recognition of the query input by speech using an acoustic model and a language model that is generated from a retrieval target database;
a retrieval means, which searches a database in response to the query to which speech recognition has been performed;
a retrieval result display means, which displays the retrieval results; and
a language model generation means, which regenerates the language model with retrieval results from the retrieval means, wherein the speech recognition means re-performs speech recognition in response to the query using the regenerated language model, and the retrieval means conducts a retrieval once again using the query to which speech recognition has been re-performed. - View Dependent Claims (3, 4, 5, 6, 7)
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Specification