Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Honza Cernocky"'
Autor:
Matějka, Pavel ⁎, Plchot, Oldřich, Glembek, Ondřej, Burget, Lukáš, Rohdin, Johan, Zeinali, Hossein, Mošner, Ladislav, Silnova, Anna, Novotný, Ondřej, Diez, Mireia, “Honza” Černocký, Jan
Publikováno v:
In Computer Speech & Language September 2020 63
Publikováno v:
IEEE Signal Processing Letters. 29:1729-1733
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cdb6aef3b7d1392166f7cdceeac46ac
https://doi.org/10.1109/lsp.2022.3192199
https://doi.org/10.1109/lsp.2022.3192199
Autor:
Jan Svec, Katerina Zmolikova, Martin Kocour, Marc Delcroix, Tsubasa Ochiai, Ladislav Mosner, Jan Honza Cernocky
Recently, the performance of blind speech separation (BSS) and target speech extraction (TSE) has greatly progressed. Most works, however, focus on relatively well-controlled conditions using, e.g., read speech. The performance may degrade in more re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78ef855f6d8bccc9ee9f594783948b82
http://arxiv.org/abs/2208.07091
http://arxiv.org/abs/2208.07091
Publikováno v:
In Speech Communication 2011 53(9):1172-1185
Publikováno v:
Proceedings of ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Motivated by unconsolidated data situation and the lack of a standard benchmark in the field, we complement our previous efforts and present a comprehensive corpus designed for training and evaluating text-independent multi-channel speaker verificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ae42da1282d33525e976a5eda04ca7
Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge
Publikováno v:
ICASSP
This paper presents an analysis of our diarization system winning the second DIHARD speech diarization challenge, track 1. This system is based on clustering x-vector speaker embeddings extracted every 0.25s from short segments of the input recording
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::823edaf69a727fb1623624ef8749c1e3
https://doi.org/10.1109/icassp40776.2020.9053982
https://doi.org/10.1109/icassp40776.2020.9053982
Publikováno v:
ICASSP
Conventional spoken language translation (SLT) systems are pipeline based systems, where we have an Automatic Speech Recognition (ASR) system to convert the modality of source from speech to text and a Machine Translation (MT) systems to translate so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73bb10cb8a719b0bfde5fb88213a4fde
http://arxiv.org/abs/2004.12111
http://arxiv.org/abs/2004.12111
Publikováno v:
Odyssey
The task of spoken pass-phrase verification is to decide whether a test utterance contains the same phrase as given enrollment utterances. Beside other applications, pass-phrase verification can complement an independent speaker verification subsyste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e4cefe287d7c9b2da259c9959843db8
https://doi.org/10.21437/odyssey.2018-52
https://doi.org/10.21437/odyssey.2018-52
Publikováno v:
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1534b79faefb12c2e46c617fcc1355
https://doi.org/10.1109/icassp.2011.5947737
https://doi.org/10.1109/icassp.2011.5947737
Autor:
FIRTINA, CAN, PILLAI, KAMLESH, KALSI, GURPREET S., SURESH, BHARATHWAJ, CALI, DAMLA SENOL, KIM, JEREMIE S., SHAHROODI, TAHA, CAVLAK, MERYEM BANU, LINDEGGER, JOËL, ALSER, MOHAMMED, GÓMEZ LUNA, JUAN, SUBRAMONEY, SREENIVAS, MUTLU, ONUR
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Mar2024, Vol. 21 Issue 1, p1-29, 29p