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Dialect recognition method

A recognition method and dialect technology, applied in speech recognition, speech analysis, instruments, etc., can solve the problems of time-consuming and labor-intensive dialects, and the lack of dialect standards, and achieve a wide range of effects

Inactive Publication Date: 2021-06-04
SHANGHAI UNIV OF ENG SCI
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

On the one hand, there are many regions in China, and different regions have their own dialects, and dialect statistics are time-consuming and labor-intensive; on the other hand, dialects are passed on orally, and there is no definite dialect standard
Therefore, so far, there is no speech recognition system that can recognize national dialects

Method used

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Embodiment Construction

[0024] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. A preferred embodiment of the application is shown in the drawings. However, the present application can be embodied in many different forms and is not limited to the embodiments described herein. Rather, the purpose of providing these embodiments is to make the disclosure of this application more thorough and comprehensive.

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein in the description of the application are only for the purpose of describing specific embodiments, and are not intended to limit the application. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed ...

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Abstract

The invention discloses a dialect recognition method, which comprises the steps of collecting and inputting dialect data of each region, establishing an initial dialect database based on a Hadoop platform, extracting voice features in the initial dialect database, establishing a convolutional neural network model, training the convolutional neural network model, performing user voice matching detection on the trained convolutional neural network model, and continuously optimizing the initial dialect database and the convolutional neural network model according to feedback of user satisfaction. According to the method, the defect that dialect recognition is insufficient in current voice recognition is overcome, the initial dialect database can be continuously improved through self-learning, and when a certain scale is reached, the recognition precision is the same as that of mandarin recognition, so that the voice recognition system can be applied to wider fields.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a speech recognition method. Background technique [0002] In recent years, with the rise of artificial intelligence, speech recognition technology has made significant progress and has been applied to all aspects of our lives, such as Apple's Siri, Microsoft's Cortana, Xiaomi's Xiao Ai, Baidu's Xiao Spend. The functions of voice intelligent assistants are constantly improving, and can chat with users, operate smart devices, smart home management and so on. [0003] At present, Mandarin recognition technology is gradually mature, but the recognition of dialects is still very lacking. On the one hand, there are many regions in China, and different regions have their own dialects, and dialect statistics are time-consuming and labor-intensive; on the other hand, dialects are passed on orally, and there is no definite dialect standard. Therefore, so far, there is n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/00G10L15/02G10L15/06G10L15/16G10L15/26G10L25/87
CPCG10L15/005G10L15/063G10L15/16G10L15/02G10L25/87
Inventor 郑增亮苏前敏
Owner SHANGHAI UNIV OF ENG SCI
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