A state duration generation algorithm considering global variance for HMM-based speech synthesis

作者：Pan Shifeng^*; Tao Jianhua; Wang Yang

来源：Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, 2011-10-18 to 2011-10-21.

• Generation algorithm
• HMM-based speech synthesis
• Synthetic speech

The speech parameter generation algorithm considering global variance (GV) for HMM-based speech synthesis proved to be effective against the over-smoothing problem. In this paper this idea is extended to the generation of state duration. A GV model on syllable duration is proposed and a state duration generation algorithm considering this GV model is presented in details. By improving the GV likelihood on syllable duration, the over-averaging effect on generated state duration is much alleviated. Experimental results are promising which show that the proposed method outperforms the conventional one and the naturalness of synthetic speech is improved.

• 出版日期2011
• 单位模式识别国家重点实验室