Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tuan Vu Ho"'
Publikováno v:
IEEE Access, Vol 11, Pp 141573-141584 (2023)
In speech enhancement, accurate phase reconstruction can significantly improve speech quality. While phase-aware speech enhancement methods using the complex ideal ratio mask (cIRM) have shown promise, the estimation difficulty of the phase is shared
Externí odkaz:
https://doaj.org/article/eaaa6b59af1947aa8efd515f9e552272
Autor:
Tuan Vu Ho, Masato Akagi
Publikováno v:
IEEE Access, Vol 9, Pp 47503-47515 (2021)
This paper proposes a non-parallel cross-lingual voice conversion (CLVC) model that can mimic voice while continuously controlling speaker individuality on the basis of the variational autoencoder (VAE) and star generative adversarial network (StarGA
Externí odkaz:
https://doaj.org/article/616d41aac8b14b64afbe32601edc74b3
Autor:
Masato Akagi, Tuan Vu Ho
Publikováno v:
IEEE Access, Vol 9, Pp 47503-47515 (2021)
This paper proposes a non-parallel cross-lingual voice conversion (CLVC) model that can mimic voice while continuously controlling speaker individuality on the basis of the variational autoencoder (VAE) and star generative adversarial network (StarGA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc349b5a9fe3b370e5a7da2ea349a4dd
https://ieeexplore.ieee.org/document/9367139/
https://ieeexplore.ieee.org/document/9367139/
Autor:
Masato Akagi, Tuan Vu Ho
Publikováno v:
APSIPA
We propose a flexible non-parallel voice conversion (VC) system that is capable of both performing speaker adaptation and controlling speaker individuality. The proposed VC framework aims to tackle the inability to arbitrarily modify voice characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ff0ce5465d7b92d7a049e75ac904df9
http://hdl.handle.net/10119/16656
http://hdl.handle.net/10119/16656
Autor:
Tuan Vu Ho, Masato Akagi
Publikováno v:
Journal of Signal Processing. 22(4):189-192
In this paper, we present a nonparallel voice conversion (VC) approach that does not require parallel data or linguistic labeling for the training process. Dictionary-based voice conversion is a class of methods aiming to decompose speech into separa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d85a2702c36e13603673b3d958bd354c
http://hdl.handle.net/10119/15379
http://hdl.handle.net/10119/15379
Publikováno v:
2015 9th International Conference on Innovative Mobile & Internet Services in Ubiquitous Computing; 2015, p283-288, 6p