- Patent Title: Revising language model scores based on semantic class hypotheses
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Application No.: US14276304Application Date: 2014-05-13
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Publication No.: US09971765B2Publication Date: 2018-05-15
- Inventor: Weiying Li , William F. Ganong, III
- Applicant: Nuance Communications, Inc.
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G10L15/22
- IPC: G10L15/22 ; G06F17/27 ; G10L15/18 ; G10L15/26 ; G10L15/197

Abstract:
Techniques for improved speech recognition disclosed herein include applying a statistical language model to a free-text input utterance to obtain a plurality of candidate word sequences for automatic speech recognition of the input utterance, each of the plurality of candidate word sequences having a corresponding initial score generated by the statistical language model. For one or more of the plurality of candidate word sequences, each of the one or more candidate word sequences may be analyzed to generate one or more hypotheses for a semantic class of at least one token in the respective candidate word sequence. The initial scores generated by the statistical language model for at least the one or more candidate word sequences may be revised based at least in part on the one or more hypotheses for the semantic class of the at least one token in each of the one or more candidate word sequences.
Public/Granted literature
- US20150332673A1 REVISING LANGUAGE MODEL SCORES BASED ON SEMANTIC CLASS HYPOTHESES Public/Granted day:2015-11-19
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