Abstract: Neural vocoders often struggle with aliasing in latent feature spaces, caused by time-domain nonlinear operations and resampling layers. Aliasing folds high-frequency components into the low ...
A Feedback-Driven Self-Improvement Strategy and Emotion-Aware Vocoder for Emotional Voice Conversion
Abstract: Emotional voice conversion (EVC) transforms the emotional state of speech while preserving linguistic content and speaker identity. Although sequence-to-sequence models have achieved ...
A state-of-the-art AI-powered Text-to-Speech system capable of generating hyper-realistic, emotionally expressive human speech that is indistinguishable from real human speakers. This system combines ...
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