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Speech Emotion Recognition Method Based on Context Correction in Negative Emotion Detection

A speech emotion recognition and context technology, applied in speech recognition, speech analysis, instruments, etc., to achieve broad application space and value, and improve the effect of recognition performance

Inactive Publication Date: 2016-04-27
SOUTHEAST UNIV +1
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  • Description
  • Claims
  • Application Information

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  • Speech Emotion Recognition Method Based on Context Correction in Negative Emotion Detection
  • Speech Emotion Recognition Method Based on Context Correction in Negative Emotion Detection
  • Speech Emotion Recognition Method Based on Context Correction in Negative Emotion Detection

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Embodiment Construction

[0028] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] figure 1 Be the method flowchart of the present invention, concrete process is as follows:

[0030] (1) Collect emotional data

[0031] In a provocative experiment, a male subject performed a mathematical verbal test to simulate a cognitive work environment. In the experiment, the subjects reported the questions and calculation results orally and recorded them. Noise stimuli were played through headphones worn, and sleep deprivation was used to aid in the induction of negative emotions such as irritability and tiredness. For the simple oral calculation questions in the experiment, the subjects tended to give confident answers. For the more difficult calculations, the subjects showed obvious hesitation in the oral report. In the second half of the experiment, after working for a long time, the subjects Feeling tired and irritable more easily.

[0032] Afte...

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Abstract

The invention discloses a negative emotion detection voice emotion recognition method based on context amendment, and belongs to the field of voice signal processing. The negative emotion detection voice emotion recognition method includes the steps of firstly collecting emotion data, conducting feature extraction on each voice, using the principal component analyzing dimensionality reduction technology to reduce feature dimensionalities, adopting two kinds of classifiers based on a Gaussian mixture model to judge four kinds of emotions respectively to obtain an emotion vector at the current moment, finally amending the emotion vector at the current moment according to an emotion vector at a previous moment and perceiving task performance at present, and accordingly obtaining final voice emotion recognition results. According to the negative emotion detection voice emotion recognition method, the recognition performance of a voice emotion recognition method singly with a Gaussian mixture classifier can be effectively improved, and a negative emotion state related to the recognition process is effectively detected. Particularly in the special work environments such as spaceflight and navigation, the negative emotion detection voice emotion recognition method has important application value on detecting and adjusting negative emotions of workers.

Description

technical field [0001] The invention relates to a speech emotion recognition method based on context correction in negative emotion detection, and belongs to the field of speech signal processing. Background technique [0002] The detection of negative emotions in cognitive tasks has important practical significance, especially in long-term and high-intensity working environments such as aerospace and navigation, it is very important to detect and regulate the negative emotions of staff in a timely manner. Mental states related to emotions, such as irritability, fatigue, hesitation, and self-confidence, have a close influence on the cognitive process and are an important factor in evaluating a person's mental state and cognitive performance. [0003] Research in cognitive psychology has shown that negative emotions have an impact on cognitive ability. It has been reported that negative emotions affect the ability to recognize visual objects. A system that automatically rec...

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Application Information

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IPC IPC(8): G10L25/63G10L15/06G10L15/08G10L15/18
Inventor 赵力刘汝杰黄程韦魏昕包永强余华阴法明
Owner SOUTHEAST UNIV
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