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Speech emotion identification method applied to mobile terminal

A technology of speech emotion recognition and emotion recognition, which is applied in the field of human emotion recognition and can solve problems such as lack of solutions

Inactive Publication Date: 2014-09-10
毛峡 +1
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Problems solved by technology

However, there is still no effective solution to this problem in practical applications.

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  • Speech emotion identification method applied to mobile terminal
  • Speech emotion identification method applied to mobile terminal
  • Speech emotion identification method applied to mobile terminal

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Embodiment Construction

[0027] The emotion recognition method adopted in the present invention is divided into three stages: emotion recognition, emotion analysis, and emotion transmission. The rules defined by the Arousal-Valence (AV) affective space are used as the identification standard. The AV emotional space is represented by a plane composed of two coordinate axes, where A is the degree of activation (including forward and reverse), and V is the degree of dominance (including forward and reverse), such as Figure 10 shown. The emotion recognition method adopted in the present invention is novel, it does not perform statistical analysis on a large number of speakers, and does not identify emotions by determining the average value of emotion-related parameters. In the traditional emotion recognition method based on statistical analysis, the same emotion may have multiple expressions, which will be affected by many factors such as voice tone, speaker personality, vocal tract characteristics, pro...

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Abstract

The invention provides a method for extracting speech emotion information. The method is characterized in that speech data are acquired or transmitted by a mobile phone, a computer and a recording pen by virtue of a data acquisition or communication process, and the emotions of a speaker are identified by use of speaker unrelated and speaker related methods. The speaker unrelated emotion information extraction method adopted in the method for extracting speech emotion information is composed of two parts of speech database recording and speech emotion modeling, wherein the speech database recording part is taken as the reference for training an emotion identifier and comprises at least one emotion speech database; the speech emotion modeling part is used for establishing a speech emotion model as the emotion identifier. The accuracy rate of the speaker related emotion information extraction method adopted in the method for extracting speech emotion information can reach 80%, and the speaker related emotion information extraction method is used for identifying the emotions in a speech signal by adjusting internal parameters in a statistical manner. The method is capable of identifying other complex emotions by use of a group of special parameters describing basic emotions.

Description

technical field [0001] The invention relates to a human emotion recognition method, and mainly relates to the fields of signal processing, pattern recognition and emotion calculation. Background technique [0002] With the continuous improvement of computer computing power and the continuous development of artificial intelligence and pattern recognition algorithms, it is no longer out of reach for computers to have the ability to communicate with humans. In the daily communication between people, speech, as a main information carrier, carries a large number of information expressed by speakers. Traditional speech recognition algorithms only focus on the textual content of the speech and its meaning, while ignoring the emotion contained in the speech. [0003] Affective computing is a research field that studies the ways and means for computers to perceive and express human emotions. Emotion plays an important role in interpersonal communication. Through emotional communica...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L15/18G10L25/63H04M1/725
Inventor 毛峡阿尔伯托·罗贝塔陈立江安东尼奥·托特拉彭一平马修·都德斯卡都保罗·马尔切利尼
Owner 毛峡
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