Progress in speech emotion recognition

Abstract

Emotional information in speech signal is an important information resource. When verbal expression combined with human emotion, emotional speech processing is no longer a simple mathematical model or pure calculations. Fluctuations of the mood are controlled by the brain perception; speech signal processing based on cognitive psychology can capture emotion better. In this paper the relevance analysis between speech emotion and human cognition is introduced firstly. The recent progress in speech emotion recognition was summarized including the review of speech emotion databases, feature extraction and emotion recognition networks. Secondly a fuzzy cognitive map network based on cognitive psychology is introduced into emotional speech recognition. In addition, the mechanism of the human brain for cognitive emotional speech is explored. To improve the recognition accuracy, this report also tries to integrate event-related potentials to speech emotion recognition. This idea is the conception and prospect of speech emotion recognition mashed up with cognitive psychology in the future.