Invention Grant
- Patent Title: Generating topic-specific language models
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Application No.: US15843846Application Date: 2017-12-15
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Publication No.: US10559301B2Publication Date: 2020-02-11
- Inventor: David F. Houghton , Seth Michael Murray , Sibley Verbeck Simon
- Applicant: Comcast Interactive Media, LLC
- Applicant Address: US PA Philadelphia
- Assignee: Comcast Interactive Media, LLC
- Current Assignee: Comcast Interactive Media, LLC
- Current Assignee Address: US PA Philadelphia
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G10L15/183
- IPC: G10L15/183 ; G10L15/197

Abstract:
Speech recognition may be improved by generating and using a topic specific language model. A topic specific language model may be created by performing an initial pass on an audio signal using a generic or basis language model. A speech recognition device may then determine topics relating to the audio signal based on the words identified in the initial pass and retrieve a corpus of text relating to those topics. Using the retrieved corpus of text, the speech recognition device may create a topic specific language model. In one example, the speech recognition device may adapt or otherwise modify the generic language model based on the retrieved corpus of text.
Public/Granted literature
- US20190035388A1 Generating Topic-Specific Language Models Public/Granted day:2019-01-31
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