Emotional Speech Synthesis Based on Prosodic Feature Modification
- 1 School of Electrical Engineering and Information, Sichuan University, Chengdu, China
- 2 School of Electrical Engineering and Information, Sichuan University, Chengdu, China
- 3 School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia
Abstract
The synthesis of emotional speech has wide applications in the field of human-computer interaction, medicine, industry and so on. In this work, an emotional speech synthesis system is proposed based on prosodic features modification and Time Domain Pitch Synchronous OverLap Add (TD-PSOLA) waveform concatenative algorithm. The system produces synthesized speech with four types of emotion: angry, happy, sad and bored. The experiment results show that the proposed emotional speech synthesis system achieves a good performance. The produced utterances present clear emotional expression. The subjective test reaches high classification accuracy for different types of synthesized emotional speech utterances.
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