Trainable Emotional Speech Synthesis Based on PAD
Emotional speech synthesis is the emphasis and hotspot in affective computing and speech signal processing.In speech synthesis,accurate speech emotion analysis is a prerequisite for high-quality synthesis of emotional speech.In this paper,PAD emotional model is used to build a 3D emotional space for sentiment analysis and clustering of emotional corpus of speech in order to get emotional PAD parameters model.The emotional speech is synthesized by HMM speech synthesis system,and the parameters of synthesized speech emotion are modified by PAD model.Therefore,the quality of emotional speech synthesis is improved.The experimental results show that the proposed method improves the naturalness of synthesized speech and the clarity of emotion and also achieves good performance among different male speakers.