Interactive tools for making temporally variable, multiple-attributes, and multiple-instances morphing accessible: Flexible manipulation of divergent speech instances for explorational research and education
Author:
Affiliation:
1. Center for Innovative and Joint Research, Wakayama University
2. Graduate School of Advanced Mathematical Sciences, Meiji University
Publisher
Acoustical Society of Japan
Link
https://www.jstage.jst.go.jp/article/ast/advpub/0/advpub_e24.43/_pdf
Reference30 articles.
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2. 2) E. Cooper, et. al., “A review on subjective and objective evaluation of synthetic speech,” Acoustical Science & Technology, Article advpub, e24.12, (2024) (Advanced online publication).
3. 3) B. Sisman, J. Yamagishi, S. King, and H. Li, “An overview of voice conversion and its challenges: From statistical modeling to deep learning,” IEEE/ACM Trans. Audio, Speech, and Language Processing, 29(5), 132–157 (2020).
4. 4) W.C.Huang, L.P.Violeta, S.Liu, J.Shi, and T. Toda, “The singing voice conversion challenge 2023,” 2023 IEEE Automatic Speech Recognition and Understanding Workshop, 1–8 (2023).
5. 5) H. Kawahara, and M. Morise, “Interactive tools for making vocoder-based signal processing accessible,” Acoustical Science & Technology, 45(1), 48–51 (2024).
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