Research on Multi-modal Mandarin Speech Emotion Recognition Based on SVM

Abstract

In this paper, based on speech multi-modal fusion emotion recognition, the key issues of speech signal preprocessing, feature extraction, fusion strategy, fusion method and emotion recognition classification are studied in depth. In this paper, the construction of emotional recognition theory model and the research of feature fusion and classification recognition algorithms are carried out. Speech-based emotion recognition research processes the speech signal by SVM, and calculates their maximum and minimum values. The specific methods and processes of emotional feature extraction are introduced in detail, and the extracted features are analyzed by emotion classification and recognition. The obtained recognition results verify the validity of the extracted features.