The Singing Voice Conversion Challenge 2023
Author:
Affiliation:
1. Nagoya University,Japan
2. Tencent AI Lab
3. Carnegie Mellon University,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389671.pdf?arnumber=10389671
Reference51 articles.
1. An overview of voice conversion systems
2. An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning
3. Speaking-aid systems using GMM-based voice conversion for electrolaryngeal speech
4. Augmented speech production based on real-time statistical voice conversion
5. Enhancing foreign language tutors – In search of the golden speaker
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