- Patent Title: Generating structured text content using speech recognition models
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Application No.: US17112279Application Date: 2020-12-04
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Publication No.: US11763936B2Publication Date: 2023-09-19
- Inventor: Christopher S. Co , Navdeep Jaitly , Lily Hao Yi Peng , Katherine Irene Chou , Ananth Sankar
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L15/26
- IPC: G10L15/26 ; G16H40/20 ; G10L15/18 ; G06F40/47 ; G06F40/58 ; G10L15/06 ; G10L15/14 ; G10L15/16 ; G10L15/183

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media for speech recognition. One method includes obtaining an input acoustic sequence, the input acoustic sequence representing one or more utterances; processing the input acoustic sequence using a speech recognition model to generate a transcription of the input acoustic sequence, wherein the speech recognition model comprises a domain-specific language model; and providing the generated transcription of the input acoustic sequence as input to a domain-specific predictive model to generate structured text content that is derived from the transcription of the input acoustic sequence.
Public/Granted literature
- US20210090724A1 GENERATING STRUCTURED TEXT CONTENT USING SPEECH RECOGNITION MODELS Public/Granted day:2021-03-25
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