Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network
Author:
Affiliation:
1. National Institute of Technology,Durgapur,India
2. Jalpaiguri Government Engineering College,India
3. Indian Statistical Institute,Kolkata,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095069.pdf?arnumber=10095069
Reference22 articles.
1. An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning
2. Voice conversion application (VOCAL)
3. An Adaptive-Learning-Based Generative Adversarial Network for One-to-One Voice Conversion
4. Generative adversarial nets;Goodfellow;Advances in NIPS,2014
5. Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames
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2. CCLCap-AE-AVSS: Cycle consistency loss based capsule autoencoders for audio–visual speech synthesis;Journal of Intelligent Systems;2024-01-01
3. A Comprehensive Analysis on Features and Performance Evaluation Metrics in Audio-Visual Voice Conversion;Communications in Computer and Information Science;2024
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