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Method and device for determining target emotion classification model

A technology of classification model and determination method, applied in speech analysis, speech recognition, instruments, etc., can solve the problem of low accuracy rate of emotion recognition, and achieve the effect of solving low accuracy rate, improving accuracy rate, and expanding emotion labeling data

Pending Publication Date: 2022-04-12
CHINA TELECOM CORP LTD
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  • Summary
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  • Claims
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Problems solved by technology

[0004] The embodiment of the present application provides a method and device for determining a target emotion classification model, so as to at least solve the technical problem of low accuracy of emotion recognition due to insufficient labeling data

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  • Method and device for determining target emotion classification model
  • Method and device for determining target emotion classification model
  • Method and device for determining target emotion classification model

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Embodiment Construction

[0022] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0023] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such...

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Abstract

The invention discloses a method and a device for determining a target emotion classification model. The method comprises the steps of obtaining first template data and a target emotion type corresponding to the first template data; training by taking the first template data as sample data and the target emotion type as a sample data classification label to obtain a template emotion classification model; inputting the voice of the target object into a template emotion classification model to obtain a target emotion type; and adding the voice of the target object into the first template data to form second template data, and determining a target emotion classification model by taking the second template data as sample data and taking the target emotion type as a sample data classification label. The technical problem of low emotion recognition accuracy caused by insufficient annotation data is solved.

Description

technical field [0001] The present application relates to the field of speech recognition, in particular, to a method and device for determining a target emotion classification model. Background technique [0002] The voice emotion of customer service personnel reflects the service level of customer service personnel, so emotion recognition is an important part of the voice service quality detection of customer service personnel, but even in the current era when voice recognition technology has been widely applied, voice emotion recognition is not simple. things, especially the identification of specific groups of people. In speech recognition applications, the main difficulty in judging the speaker's emotion is the lack of labeled data available for emotion recognition model training. This is mainly because it is very difficult to obtain annotation data for emotion recognition, which is mainly reflected in the following aspects: in the case of annotating existing voices, e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/02G10L15/06G10L15/08G10L25/63
Inventor 张后力陈银星肖夏袁改娟刘威
Owner CHINA TELECOM CORP LTD
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