Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kamil Pokora"'
Autor:
Mikolaj Babianski, Kamil Pokora, Raahil Shah, Rafal Sienkiewicz, Daniel Korzekwa, Viacheslav Klimkov
In expressive speech synthesis it is widely adopted to use latent prosody representations to deal with variability of the data during training. Same text may correspond to various acoustic realizations, which is known as a one-to-many mapping problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78737239f17a356ec56a8793c348b2d4
http://arxiv.org/abs/2301.11446
http://arxiv.org/abs/2301.11446
Autor:
Piotr Bilinski, Thomas Merritt, Abdelhamid Ezzerg, Kamil Pokora, Sebastian Cygert, Kayoko Yanagisawa, Roberto Barra-Chicote, Daniel Korzekwa
Publikováno v:
Interspeech 2022.
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).
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
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