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Hear Your Face: Face-based voice conversion with F0 estimation

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arxiv 2408.09802 v1 pith:22DR5LJH submitted 2024-08-19 cs.SD cs.CVeess.AS

Jaejun Lee , Yoori Oh , Injune Hwang , Kyogu Lee This is my paper · ORCID
classification cs.SDcs.CVeess.AS
keywords voiceconversionface-basedfacialcharacteristicsfeaturesframeworkfrequency
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. Emotional Face-to-Speech

    cs.SD 2025-02 conditional novelty 6.0 of 10

    A discrete diffusion transformer with curriculum learning generates emotional speech from identity and emotion cues extracted from a face image.

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