Invention Grant
- Patent Title: Customizable speech recognition system
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Application No.: US16383312Application Date: 2019-04-12
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Publication No.: US11538463B2Publication Date: 2022-12-27
- Inventor: Trung Huu Bui , Subhadeep Dey , Franck Dernoncourt
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon LLP
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G06N3/08 ; G10L15/07

Abstract:
Methods and systems are provided for generating a customized speech recognition neural network system comprised of an adapted automatic speech recognition neural network and an adapted language model neural network. The automatic speech recognition neural network is first trained in a generic domain and then adapted to a target domain. The language model neural network is first trained in a generic domain and then adapted to a target domain. Such a customized speech recognition neural network system can be used to understand input vocal commands.
Public/Granted literature
- US20200327884A1 CUSTOMIZABLE SPEECH RECOGNITION SYSTEM Public/Granted day:2020-10-15
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