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HMM Based Duration Control for Singing TTS

  • Najeeb Ullah Khan
  • Jung Chul Lee
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 373)

Abstract

In order to develop a HMM based singing TTS system, we need a huge singing voice database to train HMM model parameters. However there is no singing voice database publically available and the construction of it is much more difficult than that of speech database. In this paper we propose a new method to improve the naturalness of singing TTS system using HMM models from speech database. Duration control model based on the syllabic analysis is applied to adapt speech duration model to singing duration model. The proposed method results in better singing voice quality compared to the maximum likelihood generation of durations using the speech database.

Keywords

Duration control HMM Singing TTS 

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Copyright information

© Springer Science+Business Media Singapore 2015

Authors and Affiliations

  1. 1.School of Electrical EngineeringUniversity of UlsanUlsanSouth Korea

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