Method for recognizing Chinese speech emotions based on fuzzy support vector machine

Abstract

The invention discloses a method for recognizing Chinese speech emotions based on a fuzzy support vector machine. The method for recognizing the Chinese speech emotions based on the fuzzy support vector machine is used for emotion recognition of Chinese speech. The recognition process comprises two stages of rough classification and fine classification, wherein in the rough classification state, the whole situation of a sample to be recognized is extracted, emotional features are counted up, emotions are divided into three rough classifications by means of the rough classification fuzzy support vector machine. In the fine classification state, emotional discrimination in each classification is increased, the inner portion of the rough classification is divided more finely by means of a fine classification fuzzy support vector machine, and therefore every kind of emotions can be recognized. The emotional features have nothing to do with a speaker or the content of a text, training of the support vector machine is guided by fuzzy factors, PCA dimensionality reduction is conducted on fine classification features, and therefore the discrimination is increased. According to the method for recognizing the Chinese speech emotions based on the fuzzy support vector machine, Chinese speech emotion expression which has nothing to do with the speaker and the text content can be achieved by means of overall statistics of voice quality features, and complexity of the algorithm is effectively reduced and real-time performance is improved by means of classification recognition by stages. Due to the fact that the fuzzy support vector machines are applied, better recognition precision can be achieved under the condition of mixed speech emotions.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction and speech processing, and in particular relates to a Chinese speech emotion recognition method based on a fuzzy support vector machine. Background technique [0002] Emotion is an important instinct of human beings. Like rational thinking and logical reasoning, it plays an important role in people's daily life, work, communication, handling affairs and decision-making. As one of the main means of human communication, the speech signal not only has the function of conveying semantics, but also is an important carrier of the individual information of the speaker, such as the gender of the speaker and the emotion of the speaker. Among them, the research on emotion recognition of speech signals has developed into an important branch of speech signal processing and an important part of harmonious human-computer interaction. Speech emotion recognition is an interdisciplinary subject...

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Problems solved by technology

In order to solve the problems existing in Chinese speech emotion recognition technology, technical personnel in related fields have been work

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