HMM-Based Emotional Speech Synthesis Using Average Emotion Model

  title={HMM-Based Emotional Speech Synthesis Using Average Emotion Model},
  author={Long Qin and Zhen-Hua Ling and Yi-Jian Wu and Bu-Fan Zhang and Ren-Hua Wang},
This paper presents a technique for synthesizing emotional speech based on an emotion-independent model which is called “average emotion” model. The average emotion model is trained using a multi-emotion speech database. Applying a MLLR-based model adaptation method, we can transform the average emotion model to present the target emotion which is not included in the training data. A multi-emotion speech database including four emotions, “neutral”, “happiness”, “sadness”, and “anger”, is used… CONTINUE READING

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