Invention Grant
- Patent Title: Generating and using text-to-speech data for speech recognition models
-
Application No.: US18108316Application Date: 2023-02-10
-
Publication No.: US12205596B2Publication Date: 2025-01-21
- Inventor: Guoli Ye , Yan Huang , Wenning Wei , Lei He , Eva Sharma , Jian Wu , Yao Tian , Edward C. Lin , Yifan Gong , Rui Zhao , Jinyu Li , William Maxwell Gale
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Workman Nydegger
- Priority: CN202010244661.4 20200331
- Main IPC: G10L15/26
- IPC: G10L15/26 ; G10L13/08 ; G10L15/06 ; G10L15/16

Abstract:
Systems, methods, and devices are provided for generating and using text-to-speech (TTS) data for improved speech recognition models. A main model is trained with keyword independent baseline training data. In some instances, acoustic and language model sub-components of the main model are modified with new TTS training data. In some instances, the new TTS training is obtained from a multi-speaker neural TTS system for a keyword that is underrepresented in the baseline training data. In some instances, the new TTS training data is used for pronunciation learning and normalization of keyword dependent confidence scores in keyword spotting (KWS) applications. In some instances, the new TTS training data is used for rapid speaker adaptation in speech recognition models.
Public/Granted literature
- US20230186919A1 GENERATING AND USING TEXT-TO-SPEECH DATA FOR SPEECH RECOGNITION MODELS Public/Granted day:2023-06-15
Information query