Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Rouhe, A"'
Autor:
Ravanelli, Mirco, Parcollet, Titouan, Moumen, Adel, de Langen, Sylvain, Subakan, Cem, Plantinga, Peter, Wang, Yingzhi, Mousavi, Pooneh, Della Libera, Luca, Ploujnikov, Artem, Paissan, Francesco, Borra, Davide, Zaiem, Salah, Zhao, Zeyu, Zhang, Shucong, Karakasidis, Georgios, Yeh, Sung-Lin, Champion, Pierre, Rouhe, Aku, Braun, Rudolf, Mai, Florian, Zuluaga-Gomez, Juan, Mousavi, Seyed Mahed, Nautsch, Andreas, Nguyen, Ha, Liu, Xuechen, Sagar, Sangeet, Duret, Jarod, Mdhaffar, Salima, Laperriere, Gaelle, Rouvier, Mickael, De Mori, Renato, Esteve, Yannick
SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more. It promotes transparency and
Externí odkaz:
http://arxiv.org/abs/2407.00463
Public sources like parliament meeting recordings and transcripts provide ever-growing material for the training and evaluation of automatic speech recognition (ASR) systems. In this paper, we publish and analyse the Finnish parliament ASR corpus, th
Externí odkaz:
http://arxiv.org/abs/2203.14876
Autor:
Moisio, Anssi, Porjazovski, Dejan, Rouhe, Aku, Getman, Yaroslav, Virkkunen, Anja, Grósz, Tamás, Lindén, Krister, Kurimo, Mikko
The Donate Speech campaign has so far succeeded in gathering approximately 3600 hours of ordinary, colloquial Finnish speech into the Lahjoita puhetta (Donate Speech) corpus. The corpus includes over twenty thousand speakers from all the regions of F
Externí odkaz:
http://arxiv.org/abs/2203.12906
Autor:
Ravanelli, Mirco, Parcollet, Titouan, Plantinga, Peter, Rouhe, Aku, Cornell, Samuele, Lugosch, Loren, Subakan, Cem, Dawalatabad, Nauman, Heba, Abdelwahab, Zhong, Jianyuan, Chou, Ju-Chieh, Yeh, Sung-Lin, Fu, Szu-Wei, Liao, Chien-Feng, Rastorgueva, Elena, Grondin, François, Aris, William, Na, Hwidong, Gao, Yan, De Mori, Renato, Bengio, Yoshua
SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the research and development of neural speech processing technologies by being simple, flexible, user-friendly, and well-documented. This paper describes the co
Externí odkaz:
http://arxiv.org/abs/2106.04624
Autor:
Tia Mäkelä, Terhi Saisto, Katariina Salmela-Aro, Jenny Miettinen, Harri Sintonen, Hanna Rouhe
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Prenatal posttraumatic stress symptoms (PTSS), fear of childbirth (FOC), and depressive symptoms have been related to various negative effects during pregnancy, childbirth, and in the postnatal period. This study evaluates the pre
Externí odkaz:
https://doaj.org/article/ad7aa19a552e48d1ba92defe0130cea6
Publikováno v:
Journal of Psychosomatic Obstetrics and Gynecology, Vol 44, Iss 1 (2023)
Purpose Post-traumatic stress disorder (PTSD) after childbirth causes severe and lasting effects. Screening of childbirth experience may expedite early PTSD recognition. Systematic reviews have not provided consensus on how and when to measure childb
Externí odkaz:
https://doaj.org/article/e6d53b6760344675b4c807fc4ccbc471
Autor:
Sulubacak, Umut, Caglayan, Ozan, Grönroos, Stig-Arne, Rouhe, Aku, Elliott, Desmond, Specia, Lucia, Tiedemann, Jörg
Multimodal machine translation involves drawing information from more than one modality, based on the assumption that the additional modalities will contain useful alternative views of the input data. The most prominent tasks in this area are spoken
Externí odkaz:
http://arxiv.org/abs/1911.12798
Publikováno v:
In Chinese Journal of Aeronautics August 2023 36(8):284-297
This paper describes the MeMAD project entry to the IWSLT Speech Translation Shared Task, addressing the translation of English audio into German text. Between the pipeline and end-to-end model tracks, we participated only in the former, with three c
Externí odkaz:
http://arxiv.org/abs/1810.10320
Autor:
Johanna M. Joensuu, Hannu Saarijärvi, Hanna Rouhe, Mika Gissler, Veli-Matti Ulander, Seppo Heinonen, Paulus Torkki, Tomi S. Mikkola
Publikováno v:
BMC Pregnancy and Childbirth, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Childbirth experience has been shown to depend on the mode of delivery. However, it is unclear how labour induction influences the childbirth experience in different modes of delivery. Thus, we assessed the childbirth experience a
Externí odkaz:
https://doaj.org/article/e85afe6e74b84419b8bcc019905b18ea