Voice Timbre Control Based on Perceived Age in Singing Voice Conversion

Author:

KOBAYASHI Kazuhiro1,TODA Tomoki1,DOI Hironori1,NAKANO Tomoyasu2,GOTO Masataka2,NEUBIG Graham1,SAKTI Sakriani1,NAKAMURA Satoshi1

Affiliation:

1. Nara Institute of Science and Technology (NAIST)

2. National Institute of Advanced Industrial Science and Technology (AIST)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference24 articles.

1. [1] M. Morise, M. Onishi, H. Kawahara, and H. Katayose, “v. morish'09: A morphing-based singing design interface for vocal melodies,” in Entertainment Computing-ICEC 2009, pp.185-190, Springer, 2009.

2. [2] Y. Stylianou, O. Cappé, and E. Moulines, “Continuous probabilistic transform for voice conversion,” IEEE Trans. SAP, vol.6, no.2, pp.131-142, March 1998.

3. [3] T. Toda, A.W. Black, and K. Tokuda, “Voice conversion based on maximum likelihood estimation of spectral parameter trajectory,” IEEE Trans. ASLP, vol.15, no.8, pp.2222-2235, Nov. 2007.

4. [4] F. Villavicencio and J. Bonada, “Applying voice conversion to concatenative singing-voice synthesis,” Proc. INTERSPEECH, pp.2162-2165, Sept. 2010.

5. [5] Y. Kawakami, H. Banno, and F. Itakura, “GMM voice conversion of singing voice using vocal tract area function,” IEICE Technical Report, Speech (Japanese edition), vol.110, no.297, pp.71-76, Nov. 2010.

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