A discrete diffusion transformer with curriculum learning generates emotional speech from identity and emotion cues extracted from a face image.
Hear Your Face: Face-based voice conversion with F0 estimation
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abstract
This paper delves into the emerging field of face-based voice conversion, leveraging the unique relationship between an individual's facial features and their vocal characteristics. We present a novel face-based voice conversion framework that particularly utilizes the average fundamental frequency of the target speaker, derived solely from their facial images. Through extensive analysis, our framework demonstrates superior speech generation quality and the ability to align facial features with voice characteristics, including tracking of the target speaker's fundamental frequency.
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cs.SD 1years
2025 1verdicts
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Emotional Face-to-Speech
A discrete diffusion transformer with curriculum learning generates emotional speech from identity and emotion cues extracted from a face image.