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Title:
METHOD FOR PERFORMING SPEECH RECOGNITION BASED ON SELF-ADAPTIVE LANGUAGE, AND RELATED APPARATUS
Document Type and Number:
WIPO Patent Application WO/2020/182153
Kind Code:
A1
Abstract:
A method for performing speech recognition based on a self-adaptive language. The method comprises: extracting, based on acquired speech data, a phoneme feature for representing pronunciation phoneme information (310); inputting the phoneme feature into a language discrimination model pre-obtained based on multi-language corpus training to obtain a language discrimination result of the speech data (320); and acquiring, based on an acoustic language model of a language corresponding to the language discrimination result, a speech recognition result of the speech data (330). The method can automatically switch, according to different languages, to different acoustic language models to perform speech recognition, thereby avoiding the problem of a relatively low recognition efficiency caused by mutual confusion between the pronunciations of different languages, improving the processing efficiency, and also ensuring the accuracy of speech recognition.

Inventors:
SU DAN (CN)
FU TIANXIAO (CN)
LUO MIN (CN)
CHEN QI (CN)
ZHANG YULU (CN)
LUO LIN (CN)
Application Number:
PCT/CN2020/078806
Publication Date:
September 17, 2020
Filing Date:
March 11, 2020
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Assignee:
TENCENT TECH SHENZHEN CO LTD (CN)
International Classes:
G10L15/22; G10L15/06
Foreign References:
CN110491382A2019-11-22
CN109192192A2019-01-11
CN108510976A2018-09-07
CN103065622A2013-04-24
US20180137109A12018-05-17
US20050197837A12005-09-08
Other References:
MA, ZHANYU ET AL.: "Language Identification with Deep Bottleneck Features", ARXIV:1809.08909V1 [CS.CL], 18 September 2018 (2018-09-18), DOI: 20200603130631X
MARCOS, L.M. ET AL.: "Multi-Lingual Deep Neural Networks for Language Recognition", SLT 2016, 31 December 2016 (2016-12-31), DOI: 20200603130759A
Attorney, Agent or Firm:
SHENPAT INTELLECTUAL PROPERTY AGENCY (CN)
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