Invention Grant
- Patent Title: Efficient streaming non-recurrent on-device end-to-end model
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Application No.: US17316198Application Date: 2021-05-10
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Publication No.: US11715458B2Publication Date: 2023-08-01
- Inventor: Tara Sainath , Arun Narayanan , Rami Botros , Yanzhang He , Ehsan Variani , Cyril Allauzen , David Rybach , Ruoming Pang , Trevor Strohman
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger; Grant Griffith
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/06 ; G10L15/02 ; G10L15/22 ; G10L15/30

Abstract:
An ASR model includes a first encoder configured to receive a sequence of acoustic frames and generate a first higher order feature representation for a corresponding acoustic frame in the sequence of acoustic frames. The ASR model also includes a second encoder configured to receive the first higher order feature representation generated by the first encoder at each of the plurality of output steps and generate a second higher order feature representation for a corresponding first higher order feature frame. The ASR model also includes a decoder configured to receive the second higher order feature representation generated by the second encoder at each of the plurality of output steps and generate a first probability distribution over possible speech recognition hypothesis. The ASR model also includes a language model configured to receive the first probability distribution over possible speech hypothesis and generate a rescored probability distribution.
Public/Granted literature
- US20220310062A1 Efficient Streaming Non-Recurrent On-Device End-to-End Model Public/Granted day:2022-09-29
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