Invention Grant
- Patent Title: Material selection for language model customization in speech recognition for speech analytics
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Application No.: US15247656Application Date: 2016-08-25
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Publication No.: US10311859B2Publication Date: 2019-06-04
- Inventor: Amir Lev-Tov , Avraham Faizakof , Tamir Tapuhi , Yochai Konig
- Applicant: Genesys Telecommunications Laboratories, Inc.
- Main IPC: G06F17/24
- IPC: G06F17/24 ; G10L15/06 ; G10L15/26 ; G06F17/27 ; G06N20/00 ; G10L15/08 ; G10L15/183

Abstract:
A method for extracting, from non-speech text, training data for a language model for speech recognition includes: receiving, by a processor, non-speech text; selecting, by the processor, text from the non-speech text; converting, by the processor, the selected text to generate converted text comprising a plurality of phrases consistent with speech transcription text; training, by the processor, a language model using the converted text; and outputting, by the processor, the language model.
Public/Granted literature
- US20170206891A1 MATERIAL SELECTION FOR LANGUAGE MODEL CUSTOMIZATION IN SPEECH RECOGNITION FOR SPEECH ANALYTICS Public/Granted day:2017-07-20
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