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

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Lee, Jaejun, Oh, Yoori, Hwang, Injune, Lee, Kyogu
Formato: Preprint
Publicado: 2024
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866913471340216320
author Lee, Jaejun
Oh, Yoori
Hwang, Injune
Lee, Kyogu
author_facet Lee, Jaejun
Oh, Yoori
Hwang, Injune
Lee, Kyogu
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09802
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Hear Your Face: Face-based voice conversion with F0 estimation
Lee, Jaejun
Oh, Yoori
Hwang, Injune
Lee, Kyogu
Sound
Computer Vision and Pattern Recognition
Audio and Speech Processing
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.
title Hear Your Face: Face-based voice conversion with F0 estimation
topic Sound
Computer Vision and Pattern Recognition
Audio and Speech Processing
url https://arxiv.org/abs/2408.09802