Invention Grant
- Patent Title: Conversion of non-back-off language models for efficient speech decoding
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Application No.: US15225253Application Date: 2016-08-01
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Publication No.: US09934778B2Publication Date: 2018-04-03
- Inventor: Ebru Arisoy , Bhuvana Ramabhadran , Abhinav Sethy , Stanley Chen
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Agent David M. Quinn
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/18 ; G10L15/197 ; G10L15/16
Abstract:
Techniques for conversion of non-back-off language models for use in speech decoders. For example, an apparatus for conversion of non-back-off language models for use in speech decoders. For example, an apparatus is configured convert a non-back-off language model to a back-off language model. The converted back-off language model is pruned. The converted back-off language model is usable for decoding speech.
Public/Granted literature
- US20160343369A1 CONVERSION OF NON-BACK-OFF LANGUAGE MODELS FOR EFFICIENT SPEECH DECODING Public/Granted day:2016-11-24
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