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Title:
ACCENT-BASED VOICE RECOGNITION PROCESSING METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2020/014890
Kind Code:
A1
Abstract:
Provided are an accent-based voice recognition processing method, an electronic device and a storage medium, wherein the method comprises: receiving and recognizing a preset number of training voice instructions to obtain a voice recognition result corresponding to each training voice instruction (S202); when a preset training trigger condition is met, triggering to enter an accent training state, comparing the voice recognition result corresponding to each training voice instruction to obtain a comparison result (S204); when the comparison result meets a consistency condition, performing fuzzy matching between the voice recognition result and standard voice instructions to obtain a candidate standard voice instruction (S206); confirming the candidate standard voice instruction, and determining the standard voice instruction matched with the training voice instruction (S208); according to the training voice instruction and the matched standard voice instruction, determining accent features of the training voice instruction, wherein the accent features are used to correct and recognize the to-be-recognized voice instruction carrying the corresponding accent features (S210). The accent features of the corrected voice instruction are obtained through accent training, so as to improve the recognition accuracy.

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Inventors:
HSIEH KUAN-HONG (CN)
LIAO MINGJIN (CN)
GAO MINGKUN (CN)
Application Number:
PCT/CN2018/096131
Publication Date:
January 23, 2020
Filing Date:
July 18, 2018
Export Citation:
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Assignee:
SHENZHEN AIMORE ACOUSTICS INC (CN)
International Classes:
G10L15/06; G10L15/22
Foreign References:
CN106548774A2017-03-29
CN1162365A1997-10-15
CN107146607A2017-09-08
CN106875942A2017-06-20
CN108053823A2018-05-18
CN106663422A2017-05-10
CN106131173A2016-11-16
CN107065679A2017-08-18
Attorney, Agent or Firm:
ADVANCE CHINA IP LAW OFFICE (CN)
Download PDF:
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