Invention Grant
- Patent Title: Generating topic-specific language models
-
Application No.: US16728476Application Date: 2019-12-27
-
Publication No.: US11562737B2Publication Date: 2023-01-24
- Inventor: David F. Houghton , Seth Michael Murray , Sibley Verbeck Simon
- Applicant: TIVO CORPORATION
- Applicant Address: US CA San Jose
- Assignee: TIVO CORPORATION
- Current Assignee: TIVO CORPORATION
- Current Assignee Address: US CA San Jose
- Agency: Haley Guiliano LLP
- 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
- US20200312310A1 Generating Topic-Specific Language Models Public/Granted day:2020-10-01
Information query