Language models using spoken language modeling
US-2024386885-A1 · Nov 21, 2024 · US
US2015073792A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2015073792-A1 |
| Application number | US-201414540179-A |
| Country | US |
| Kind code | A1 |
| Filing date | Nov 13, 2014 |
| Priority date | Nov 5, 1999 |
| Publication date | Mar 12, 2015 |
| Grant date | — |
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The invention concerns a method and corresponding system for building a phonotactic model for domain independent speech recognition. The method may include recognizing phones from a user's input communication using a current phonotactic model, detecting morphemes (acoustic and/or non-acoustic) from the recognized phones, and outputting the detected morphemes for processing. The method also updates the phonotactic model with the detected morphemes and stores the new model in a database for use by the system during the next user interaction. The method may also include making task-type classification decisions based on the detected morphemes from the user's input communication.
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What is claimed is: 1 . A method comprising: recognizing phonemes using a body movement and a current phonotactic model, to yield recognized phonemes; creating, via a processor, a new phonotactic model using morphemes detected from: the recognized phonemes; and a prior probability distribution associated with a domain; and replacing the current phonotactic model with the new phonotactic model in a database. 2 . The method of claim 1 , wherein th…
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