Sensitivity adjustability-based speech emotion recognition method and system

Abstract

The invention discloses a sensitivity adjustability-based speech emotion recognition method and system. According to the method and system, the input speech signals of a user are received; voice recognition software is utilized to perform text recognition on the speech signals, a speech signal feature vector and a text feature vector are established; the speech signal feature vector and the text feature vector are respectively inputted into a speech emotion recognition model and a text emotion recognition model for performing recognition, so that the class probabilities of the speech corresponding to four emotions are determined; a user can adjust the weighting values of judgment on the four emotions; and a decision-making layer fuses four emotion perception sensitivity-weighted emotion probabilities so as to obtain a final recognition result, and emotion sensitivity adjustable emotion recognition is realized. With the method and system of the invention adopted, new solutions and application methods can be brought for human-computer interaction, emotion management and emotion calculation.

Description

technical field [0001] The invention belongs to the field of voice recognition, in particular to a voice emotion recognition method and system based on adjustable sensitivity. Background technique [0002] Emotion is a common expression of human means of communication and plays an important role in human-computer interaction. Speech, as the most direct means of communication for human beings, can convey rich emotional information, and has been successfully used in automatic recognition of emotions. Although speech emotion recognition has achieved applicability, different emotions have different importance to human communication and response. Human beings have different sensitivities when recognizing different emotional changes, such as special emotions such as anger and sadness in the tone of voice. Sensitive perception of presence is important for effective communication. The current speech emotion recognition system generally adopts the decision-making method with the sm...

AI Technical Summary

Problems solved by technology

Speech information itself contains rich emotional information, but not all the emotional information, and the audio signal itself has some inherent defects, such as weak signal, strong noise, etc. It is not comprehensive to recognize emotion from a single speech model

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