Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Hervé Bredin"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
The robustness of a biometric identity verification (IV) system is best evaluated by monitoring its behavior under impostor attacks. Such attacks may include the transformation of one, many, or all of the biometric modalities. In this paper, we prese
Externí odkaz:
https://doaj.org/article/794ea8a6a4a8474ca03898cf69f20d39
Autor:
Gérard Chollet, Hervé Bredin
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Speech is a means of communication which is intrinsically bimodal: the audio signal originates from the dynamics of the articulators. This paper reviews recent works in the field of audiovisual speech, and more specifically techniques developed to me
Externí odkaz:
https://doaj.org/article/70e432b4bf0f4caf9e4820ede878913f
Autor:
Marvin Lavechin, Maureen de Seyssel, Marianne Métais, Florian Metz, Abdelrahman Mohame, Hervé Bredin, Emmanuel Dupoux, Alejandrina Cristia
International audience; Infants learn their native language(s) at an amazing speed. Before they even talk, their perception adapts to the language(s) they hear. However, the mechanisms responsible for this perceptual attunement still remain unclear.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b1363e0a1d253f7f6945bad9b79a776
https://doi.org/10.31234/osf.io/hav58
https://doi.org/10.31234/osf.io/hav58
Autor:
Marvin Lavechin, Maureen de Seyssel, Hadrien Titeux, Hervé Bredin, Guillaume Wisniewski, Alejandrina Cristia, Emmanuel Dupoux
Before they even produce their first word, infants start developing a language-specific perception, recognize the auditory form of frequent words, and develop a rudimentary knowledge of grammatical categories. A major question in language development
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943c0fa934d6025f2433f264cb71806f
https://doi.org/10.31234/osf.io/rx94d
https://doi.org/10.31234/osf.io/rx94d
Publikováno v:
IEEE Automatic Speech Recognition and Unserstanding Workshop
IEEE Automatic Speech Recognition and Unserstanding Workshop, Dec 2021, Cartagena, Colombia
HAL
IEEE Automatic Speech Recognition and Unserstanding Workshop, Dec 2021, Cartagena, Colombia
HAL
We propose to address online speaker diarization as a combination of incremental clustering and local diarization applied to a rolling buffer updated every 500ms. Every single step of the proposed pipeline is designed to take full advantage of the st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba4cf6e9a7543c81631b1534e5f4da81
https://hal.archives-ouvertes.fr/hal-03375330/file/this-paper.pdf
https://hal.archives-ouvertes.fr/hal-03375330/file/this-paper.pdf
Autor:
Antoine Laurent, Hervé Bredin
Publikováno v:
Interspeech 2021
Interspeech 2021, Aug 2021, Brno, Czech Republic
Interspeech 2021, Aug 2021, Brno, Czech Republic
Speaker segmentation consists in partitioning a conversation between one or more speakers into speaker turns. Usually addressed as the late combination of three sub-tasks (voice activity detection, speaker change detection, and overlapped speech dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2effb03a1a9f8d98483795fa647237ca
Autor:
Sajjad Abdoli, Latane Bullock, Paola García, Lei Sun, Jesús Villalba, Hervé Bredin, Wassim Bouaziz, Hadrien Titeux, Saurabh Kataria, Diego Castan, Sizhu Chen, Kong Aik Lee, Léo Galmant, Jun Du, Alejandrina Cristia, Marie-Philippe Gill, Ling Guo, Marvin Lavechin, Phani Sankar Nidadavolu, Najim Dehak, Bar Ben-Yair, Koji Okabe, Emmanuel Dupoux, Xin Wang
Publikováno v:
Odyssey 2020 The Speaker and Language Recognition Workshop
Odyssey 2020 The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan
Odyssey
HAL
Odyssey 2020 The Speaker and Language Recognition Workshop, Nov 2020, Tokyo, Japan
Odyssey
HAL
This paper presents the problems and solutions addressed at the JSALT workshop when using a single microphone for speaker detection in adverse scenarios. The main focus was to tackle a wide range of conditions that go from meetings to wild speech. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::149a4b3cb5d20f380116b4922e46b0dc
https://hal.science/hal-02417632
https://hal.science/hal-02417632
Publikováno v:
INTERSPEECH
Interspeech 2020-Conference of the International Speech Communication Association
Interspeech 2020-Conference of the International Speech Communication Association, Oct 2020, Shanghai / Virtual, China
HAL
Interspeech 2020-Conference of the International Speech Communication Association
Interspeech 2020-Conference of the International Speech Communication Association, Oct 2020, Shanghai / Virtual, China
HAL
Spontaneous conversations in real-world settings such as those found in child-centered recordings have been shown to be amongst the most challenging audio files to process. Nevertheless, building speech processing models handling such a wide variety
Publikováno v:
International Conference on Statistical Language and Speech Processing
International Conference on Statistical Language and Speech Processing, Oct 2020, Cardiff, United Kingdom. pp.137-148, ⟨10.1007/978-3-030-59430-5_11⟩
Statistical Language and Speech Processing ISBN: 9783030594299
SLSP
International Conference on Statistical Language and Speech Processing, Oct 2020, Cardiff, United Kingdom. pp.137-148, ⟨10.1007/978-3-030-59430-5_11⟩
Statistical Language and Speech Processing ISBN: 9783030594299
SLSP
Despite the growing popularity of metric learning approaches, very little work has attempted to perform a fair comparison of these techniques for speaker verification. We try to fill this gap and compare several metric learning loss functions in a sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e07e78fbc99e43d506fa11103aef5e4
https://hal.archives-ouvertes.fr/hal-02989334
https://hal.archives-ouvertes.fr/hal-02989334
Publikováno v:
RepL4NLP@ACL
Proceedings of the 5th Workshop on Representation Learning for NLP
Workshop on Representation Learning for NLP
Workshop on Representation Learning for NLP, Jul 2020, Online, France. pp.89-94, ⟨10.18653/v1/2020.repl4nlp-1.12⟩
Proceedings of the 5th Workshop on Representation Learning for NLP
Workshop on Representation Learning for NLP
Workshop on Representation Learning for NLP, Jul 2020, Online, France. pp.89-94, ⟨10.18653/v1/2020.repl4nlp-1.12⟩
International audience; The task of automatic misogyny identification and categorization has not received as much attention as other natural language tasks have, even though it is crucial for identifying hate speech in social Internet interactions. I