Zobrazeno 1 - 10
of 22
pro vyhledávání: '"SAM Ribeiro"'
Autor:
SAM Ribeiro, MCM Galleti, MA Orsi, AR Ferrati, AO Mendonça, L Doretto Júnior, SCA Camillo, D Reischak
Publikováno v:
Brazilian Journal of Poultry Science, Vol 8, Iss 1, Pp 39-43 (2006)
The occurrence of Salmonella in a samples of 40 imported day-old duckling flocks was assessed from 1998 to 2003 according to the guidelines of the Brazilian National Poultry Health Program (Programa Nacional de Sanidade Avícola-PNSA). The pathogen w
Externí odkaz:
https://doaj.org/article/b92dba12590840c6b4365bce44bf4fe4
Publikováno v:
Brazilian Journal of Poultry Science, Vol 7, Iss 2, Pp 107-112 (2005)
The strain used in this work was a Salmonella enterica subsp enterica serovar Kottbus (6,8:e,h:1,5) isolated from imported day-old ducklings in Laboratório Nacional Agropecuário (LANAGRO/SP) of the Ministry of Agriculture of Brazil (MAPA). In view
Externí odkaz:
https://doaj.org/article/86cb7383f3924ea0a0a456cced2645f1
Autor:
Cassia Valentini-Botinhao, Manuel Sam Ribeiro, Oliver Watts, Korin Richmond, Gustav Eje Henter
Publikováno v:
Valentini-Botinhao, C, Ribeiro, M S, Watts, O, Richmond, K & Eje Henter, G 2022, Predicting pairwise preferences between TTS audio stimuli using parallel ratings data and anti-symmetric twin neural networks . in H Ko & J H L Hansen (eds), Proceedings of Interspeech 2022 . pp. 471-475, Interspeech 2022, Incheon, Korea, Democratic People's Republic of, 18/09/22 . https://doi.org/10.21437/Interspeech.2022-10132
Automatically predicting the outcome of subjective listening tests is a challenging task. Ratings may vary from person to person even if preferences are consistent across listeners. While previous work has focused on predicting listeners' ratings (me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87893a6a35973d540b30a8388ba01a0
https://doi.org/10.21437/interspeech.2022-10132
https://doi.org/10.21437/interspeech.2022-10132
The availability of data in expressive styles across languages is limited, and recording sessions are costly and time consuming. To overcome these issues, we demonstrate how to build low-resource, neural text-to-speech (TTS) voices with only 1 hour o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03f919b36510bfab34016fc892b2fddc
http://arxiv.org/abs/2207.14607
http://arxiv.org/abs/2207.14607
Autor:
Manuel Sam Ribeiro, Julian Roth, Giulia Comini, Goeric Huybrechts, Adam Gabrys, Jaime Lorenzo-Trueba
We address the problem of cross-speaker style transfer for text-to-speech (TTS) using data augmentation via voice conversion. We assume to have a corpus of neutral non-expressive data from a target speaker and supporting conversational expressive dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21d6d55955bc1bb148cd48cd30d20f9b
http://arxiv.org/abs/2202.05083
http://arxiv.org/abs/2202.05083
Autor:
Eleanor Sugden, Manuel Sam Ribeiro, Korin Richmond, Aciel Eshky, Joanne Cleland, Steve Renals
Publikováno v:
Eshky, A, Cleland, J, Ribeiro, M S, Sugden, E, Richmond, K & Renals, S 2021, ' Automatic audiovisual synchronisation for ultrasound tongue imaging ', Speech Communication, vol. 132, pp. 83-95 . https://doi.org/10.1016/j.specom.2021.05.008
Ultrasound tongue imaging is used to visualise the intra-oral articulators during speech production. It is utilised in a range of applications, including speech and language therapy and phonetics research. Ultrasound and speech audio are recorded sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36ab08ddc455d9a8e7feae7afb3c9e5f
https://hdl.handle.net/20.500.11820/9e592bfa-43d4-4093-91cc-e0a9d052cf8a
https://hdl.handle.net/20.500.11820/9e592bfa-43d4-4093-91cc-e0a9d052cf8a
Publikováno v:
Ribeiro, M S, Cleland, J, Eshky, A, Richmond, K & Renals, S 2021, ' Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors ', Speech Communication, vol. 128, pp. 24-34 . https://doi.org/10.1016/j.specom.2021.02.001
Speech sound disorders are a common communication impairment in childhood. Because speech disorders can negatively affect the lives and the development of children, clinical intervention is often recommended. To help with diagnosis and treatment, cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af82896b0b787a2b53764699debbdf95
Publikováno v:
Ribeiro, M S, Eshky, A, Richmond, K & Renals, S 2021, Silent versus modal multi-speaker speech recognition from ultrasound and video . in 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 . Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 641-645, Interspeech 2021, Brno, Czech Republic, 30/08/21 . https://doi.org/10.21437/Interspeech.2021-23
We investigate multi-speaker speech recognition from ultrasound images of the tongue and video images of the lips. We train our systems on imaging data from modal speech, and evaluate on matched test sets of two speaking modes: silent and modal speec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c45cdd0287786ecaa2566a62abfc2422
Autor:
Jing-Xuan Zhang, Aciel Eshky, Manuel Sam Ribeiro, Jennifer Sanger, Korin Richmond, Steve Renals, Alan A Wrench
Publikováno v:
SLT
Ribeiro, M S, Sanger, J, Zhang, J-X, Eshky, A, Wrench, A, Richmond, K & Renals, S 2021, TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos . in 2021 IEEE Spoken Language Technology Workshop (SLT) . Institute of Electrical and Electronics Engineers (IEEE), pp. 1109-1116, IEEE Spoken Language Technology Workshop, 19/01/21 . https://doi.org/10.1109/SLT48900.2021.9383619
Ribeiro, M S, Sanger, J, Zhang, J-X, Eshky, A, Wrench, A, Richmond, K & Renals, S 2021, TaL: a synchronised multi-speaker corpus of ultrasound tongue imaging, audio, and lip videos . in 2021 IEEE Spoken Language Technology Workshop (SLT) . Institute of Electrical and Electronics Engineers (IEEE), pp. 1109-1116, IEEE Spoken Language Technology Workshop, 19/01/21 . https://doi.org/10.1109/SLT48900.2021.9383619
We present the Tongue and Lips corpus (TaL), a multi-speaker corpus of audio, ultrasound tongue imaging, and lip videos. TaL consists of two parts: TaL1 is a set of six recording sessions of one professional voice talent, a male native speaker of Eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8727b0a1cf799c0770a78413d95c697a
http://arxiv.org/abs/2011.09804
http://arxiv.org/abs/2011.09804
Publikováno v:
Ribeiro, M, Eshky, A, Richmond, K & Renals, S 2019, Ultrasound tongue imaging for diarization and alignment of child speech therapy sessions . in INTERSPEECH 2019: Proceedings of the 20th Annual Conference of the International Speech Communication Association (ISCA) . Graz, Austria, pp. 16-20, Interspeech 2019, Graz, Austria, 15/09/19 . https://doi.org/10.21437/Interspeech.2019-2612
INTERSPEECH
INTERSPEECH
We investigate the automatic processing of child speech therapy sessions using ultrasound visual biofeedback, with a specific focus on complementing acoustic features with ultrasound images of the tongue for the tasks of speaker diarization and time-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00be2c8a431f6596b8282129813aef2c
http://arxiv.org/abs/1907.00818
http://arxiv.org/abs/1907.00818