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Title:
META LEARNING-BASED ADAPTIVE SPEECH RECOGNITION METHOD AND APPARATUS, DEVICE AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/121155
Kind Code:
A1
Abstract:
A meta learning-based adaptive speech recognition method and apparatus, a device and a medium, relating to the technical field of artificial intelligence and capable of solving the problems that, when an adaptive speaker adjustment is made to a speech recognition model, adjustment criteria needs to be manually designed beforehand according to different speaker types, the design process is tedious, onerous and cannot cover all parameter adjustment scenarios, and thus the speech recognition effect is poor. The method comprises: training a speech recognition model and a meta learning adaptation model by means of pre-processed sample speech data (101); adjusting, based on the meta learning adaptation model, initial model parameters of the speech recognition model to target model parameters which match a target speech type (102); and recognizing a target speech of the target speech type by means of the speech recognition model configured with the target model parameters (103).

Inventors:
LUO JIAN (CN)
WANG JIANZONG (CN)
CHENG NING (CN)
Application Number:
PCT/CN2021/083002
Publication Date:
June 16, 2022
Filing Date:
March 25, 2021
Export Citation:
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Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G10L15/06; G10L15/065; G10L15/16; G10L15/22; G10L15/26
Foreign References:
CN111243576A2020-06-05
CN111916067A2020-11-10
CN111312256A2020-06-19
CN111727473A2020-09-29
CN111613212A2020-09-01
CN108777146A2018-11-09
US7885812B22011-02-08
Attorney, Agent or Firm:
SCIHEAD IP LAW FIRM (CN)
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