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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kenmochi, H., Ohshita, H.: VOCALOID-commercial singing synthesizer based on sample concatenation. In: INTERSPEECH, Antwerp, Belgium, pp. 4009–4010 (2007)
Kenmochi, H.: Singing synthesis as a new musical instrument. In: ICASSP, Kyoto, Japan, pp. 5385–5388 (2012)
Saino, K., Zen, H., Nankaku, Y., Lee, A., Tokuda, K.: An HMM-based singing voice synthesis system. In: INTERSPEECH, Pittsburgh, Pennsylvania, pp. 2274–2277 (2006)
Oura, K., Mase, A., Yamada, T., Muto, S., Nankaku, Y., Tokuda, K.: Recent development of the HMM-based singing voice synthesis system-Sinsy. In: SSW, pp. 211–216 (2010)
Nakamura, K., Oura, K., Nankaku, Y., Tokuda, K.: HMM-Based singing voice synthesis and its application to Japanese and English. In: ICASSP, Florence, Italy, pp. 265-269 (2014)
Shirota, K., Nakamura, K., Hashimoto, K., Oura, K., Nankaku, Y., Tokuda, K.: Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis. In: ICASSP, Florence, Italy, pp. 2559–2563 (2014)
Zen, H., Nose, T., Yamagishi, J., Sako, S., Masuko, T., Black, A.W., et al.: The HMM-based speech synthesis system (HTS) version 2.0. In: SSW, pp. 294–299 (2007)
Tokuda, K., Nankaku, Y., Toda, T., Zen, H., Yamagishi, J., Oura, K.: Speech synthesis based on hidden markov models. Proceedings of the IEEE 101, 1234–1252 (2013)
CMU_ARCTIC speech synthesis databases. http://festvox.org/cmu_arctic/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Singapore
About this paper
Cite this paper
Khan, N.U., Lee, J.C. (2015). HMM Based Duration Control for Singing TTS. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_20
Download citation
DOI: https://doi.org/10.1007/978-981-10-0281-6_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0280-9
Online ISBN: 978-981-10-0281-6
eBook Packages: Computer ScienceComputer Science (R0)