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A Chinese Speech Emotion Recognition Method Based on Fuzzy Support Vector Machine

A fuzzy support vector, speech emotion recognition technology, applied in speech recognition, speech analysis, instruments, etc., to reduce time complexity, improve recognition accuracy, and widely use value.

Inactive Publication Date: 2015-10-28
HOHAI UNIV CHANGZHOU
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

In order to solve the problems existing in Chinese speech emotion recognition technology, technical personnel in related fields have been working hard to research, but no applicable method has been developed yet, and it is still a problem that relevant practitioners are eager to solve

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  • A Chinese Speech Emotion Recognition Method Based on Fuzzy Support Vector Machine
  • A Chinese Speech Emotion Recognition Method Based on Fuzzy Support Vector Machine
  • A Chinese Speech Emotion Recognition Method Based on Fuzzy Support Vector Machine

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Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0036] (1) Extract the emotional features of Chinese speech training samples

[0037] The present invention selects six common speech emotions such as anger, joy, sadness, fear, disgust, and surprise to form a training sample set S={S1, S2, S3}, where Si (i=1, 2, 3) is the i-th rough A collection of classification samples. Prosodic features can effectively reflect emotion, which is the sound intensity (Intensity), sound length (Length or duration), and pitch (Pitch) shown by a phoneme unit larger than one phoneme, such as a syllable (Syllable) or a unit larger than a syllable. ), accent (Accent), tone (Tone) and intonation (Intonation) and other speech feature parameters. Representative features mainly include speech rate, pitch and their derived parameters. Voice quality features mainly refer to the features of voice timbre and spectrum, s...

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G10L15/06G10L15/14
Inventor 张卓范新南梁瑞宇奚吉张学武孙晓丹凌明强游皇斌周卓赟
Owner HOHAI UNIV CHANGZHOU
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