Language emotion recognition method for emotion evaluation

Abstract

The invention discloses a language emotion recognition method for emotion evaluation, and belongs to the technical field of voice signal intelligent processing. The method comprises the following steps: pre-recording dialogue content to generate source audio, preprocessing the source audio, and storing to obtain an emotion database; dividing the emotion database into a training set and a test set; building a voice emotion recognition model based on the emotion database; the speech emotion recognition model predicts an emotion database through the pleasure degree and the passion degree; obtaining speech content of a speaker and preprocessing the speech content to generate a corresponding audio file; segmenting the audio file into a plurality of target audio files by taking the training set voice duration as a segmentation parameter; the target voice file is used as an input voice emotion recognition model, the emotion of a speaker is evaluated and analyzed based on the voice emotion recognition model, and the test set acts on the training set to optimize the voice emotion recognition model. The emotion change of the language of the speaker is accurately mastered, and the problem that the emotion change is neglected when only the audio is recognized is avoided.

Description

technical field [0001] The invention belongs to the technical field of voice signal intelligent processing, and in particular relates to a language emotion recognition method for emotion evaluation. Background technique [0002] With the rapid development of artificial intelligence, human-computer interaction is becoming more and more humanized and intelligent. Speech emotion recognition recognizes emotional states from speech signals, which is very important for advancing human-computer interaction. It is important to understand the content of the conversation and give an appropriate response according to one's emotions during the conversation. Especially in some special environments such as speeches, the emotion expressed by the speaker is closely related to physiological and behavioral changes, which affects the emotions of the audience and the overall atmosphere. However, the existing language emotion recognition methods usually use the method of emotion classification ...

AI Technical Summary

Problems solved by technology

Especially in some special environments such as speeches, the emotion expressed by the speaker is closely related to physiological and behavioral changes, which affects the emotions of the audience and the overall atmosphere. However, the existing language emotion recognition methods usually use the method of emotion classification Identify the emotion of the speaker during the speech, and realize the evaluation of the speaker's performance. This evaluation method cannot accurately grasp the emotional changes of the speaker, especially for the identification of the entire audio, it is easy to ignore the problem of emotion

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