Invention Grant
- Patent Title: Accuracy of streaming RNN transducer
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Application No.: US17031345Application Date: 2020-09-24
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Publication No.: US11783811B2Publication Date: 2023-10-10
- Inventor: Gakuto Kurata , George Andrei Saon
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Randy Emilio Tejeda
- Main IPC: G10L15/16
- IPC: G10L15/16 ; G06F17/18 ; G06N3/08 ; G10L25/30 ; G06F18/10 ; G06N3/045

Abstract:
A computer-implemented method is provided for model training. The method includes training a second end-to-end neural speech recognition model that has a bidirectional encoder to output same symbols from an output probability lattice of the second end-to-end neural speech recognition model as from an output probability lattice of a trained first end-to-end neural speech recognition model having a unidirectional encoder. The method also includes building a third end-to-end neural speech recognition model that has a unidirectional encoder by training the third end-to-end neural speech recognition model as a student by using the trained second end-to-end neural speech recognition model as a teacher in a knowledge distillation method.
Public/Granted literature
- US20220093083A1 ACCURACY OF STREAMING RNN TRANSDUCER Public/Granted day:2022-03-24
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