Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Abdelhamid Ezzerg"'
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e08e503e2d1332149c7269820b991c
https://doi.org/10.1109/icassp49357.2023.10095301
https://doi.org/10.1109/icassp49357.2023.10095301
Autor:
Piotr Bilinski, Thomas Merritt, Abdelhamid Ezzerg, Kamil Pokora, Sebastian Cygert, Kayoko Yanagisawa, Roberto Barra-Chicote, Daniel Korzekwa
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650be67363a4639a60de2600a6f28cb1
https://doi.org/10.21437/interspeech.2022-10195
https://doi.org/10.21437/interspeech.2022-10195
Autor:
Magdalena Proszewska, Grzegorz Beringer, Daniel Sáez-Trigueros, Thomas Merritt, Abdelhamid Ezzerg, Roberto Barra-Chicote
In this paper, we propose GlowVC: a multilingual multi-speaker flow-based model for language-independent text-free voice conversion. We build on Glow-TTS, which provides an architecture that enables use of linguistic features during training without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75de51f0fc0118eade3ba985f57e6130
http://arxiv.org/abs/2207.01454
http://arxiv.org/abs/2207.01454
Autor:
Thomas Merritt, Abdelhamid Ezzerg, Piotr Bilinski, Magdalena Proszewska, Kamil Pokora, Roberto Barra-Chicote, Daniel Korzekwa
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa47967ea1e2ff95f4d637c084eec9ee
https://doi.org/10.1109/icassp43922.2022.9746368
https://doi.org/10.1109/icassp43922.2022.9746368
Autor:
Daniel Korzekwa, Goeric Huybrechts, Bartosz Putrycz, Viacheslav Klimkov, Kamil Pokora, Abdelhamid Ezzerg, Thomas Merritt, Raahil Shah
Publikováno v:
11th ISCA Speech Synthesis Workshop (SSW 11).
Whilst recent neural text-to-speech (TTS) approaches produce high-quality speech, they typically require a large amount of recordings from the target speaker. In previous work, a 3-step method was proposed to generate high-quality TTS while greatly r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::131379f338ca0ca86a69b0edf52581cb
https://doi.org/10.21437/ssw.2021-17
https://doi.org/10.21437/ssw.2021-17
Autor:
Adam Gabrys, Kamil Pokora, Daniel Saez-Trigueros, Viacheslav Klimkov, Jaime Lorenzo-Trueba, Jakub Lachowicz, Abdelhamid Ezzerg, Bartosz Putrycz, Daniel Korzekwa, David McHardy
Artificial speech synthesis has made a great leap in terms of naturalness as recent Text-to-Speech (TTS) systems are capable of producing speech with similar quality to human recordings. However, not all speaking styles are easy to model: highly expr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f3066dd01521b970701004da0d2159f
http://arxiv.org/abs/2108.06270
http://arxiv.org/abs/2108.06270