Speech emotion recognition method and system for enhancing anger and happiness recognition

A speech emotion recognition and emotion recognition technology, applied in speech analysis, speech recognition, instruments, etc., can solve problems such as large dimensionality, damage classification, clustering algorithm accuracy, and unsatisfactory results, so as to improve misjudgment problem, the effect of improving accuracy

Active Publication Date: 2018-09-28
NANJING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, at present, people usually use the vector space model to describe the text vector, but if the feature items obtained by the word segmentation algorithm and the word frequency statistics method are directly used to represent each dimension in the text vector, then the dimension of the vector will be very large
Therefore, whe

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  • Speech emotion recognition method and system for enhancing anger and happiness recognition
  • Speech emotion recognition method and system for enhancing anger and happiness recognition
  • Speech emotion recognition method and system for enhancing anger and happiness recognition

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Embodiment Construction

[0067] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0068] In the present invention, the speech enhancement emotion recognition model construction framework is as figure 1 As shown, the present invention discloses a voice emotion recognition method for enhancing anger and happiness recognition, which includes the following steps:

[0069] (1) Speech and text data collection

[0070] The SpeechSet dataset is established by selecting the speech data in the dataset IEMOCAP. The present invention uses the open emotion database (Interactive Emotional Motion Capture, IEMOCAP) IEMOCAP that University of Southern California collects to comprise 12 hours of audio-visual data, namely video, audio frequency and voice text, facial expression, 10 actors, 5 paragraphs of dialogues, each A dialogue where a man and a woman perform emotional expressions combining language and action in a perf...

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Abstract

The invention provides a speech emotion recognition method and system for enhancing anger and happiness recognition. The method comprises the steps of receiving a user voice signal, and extracting acoustic feature vectors of a voice; converting the voice signal into text information, and acquiring text feature vectors of the voice; inputting the acoustic feature vectors and the text feature vectors into a speech emotion recognition model and a text emotion recognition model respectively to obtain probability values of different emotions; reducing and enhancing the obtained anger and happinessemotional probability values to obtain final emotion judgment and recognition results. The method can provide assistance for application such as emotional computing, human-computer interaction and thelike.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and emotion computing, and relates to a voice emotion recognition method and system for enhancing anger and happiness recognition. Background technique [0002] Emotion plays an important role in human intelligence, rational decision-making, social interaction, perception, memory, learning, and creation. Studies have shown that 80% of information in human communication is emotional information. In computer automatic emotion recognition, emotions are generally classified based on discrete emotion models or dimensional emotion models; in discrete emotion model classification, emotions are divided into basic emotions such as excitement, happiness, sadness, anger, surprise, and neutrality. In the classification of dimensional emotion models, in 1970 Russell believed that four quadrants were used to define the emotional space, and classified from the two dimensions of activation and valence, corr...

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Application Information

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IPC IPC(8): G10L25/63G10L15/26G10L15/06
CPCG10L15/063G10L15/26G10L25/63G10L2015/0631
Inventor 王蔚胡婷婷冯亚琴
Owner NANJING NORMAL UNIVERSITY
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