Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Christophe Lévy"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2009 (2009)
Speech recognition applications are known to require a significant amount of resources. However, embedded speech recognition only authorizes few KB of memory, few MIPS, and small amount of training data. In order to fit the resource constraints of em
Externí odkaz:
https://doaj.org/article/3dcb7b2dfa59413ca547718d48c622de
Autor:
Norman Poh, Christophe Lévy, Sébastien Marcel, Timothy F. Cootes, Chris McCool, Abdenour Hadid, Philip A. Tresadern, Pavel Matejka
Publikováno v:
IEEE Pervasive Computing. 12:79-87
The Mobile Biometrics (MoBio) project combines real-time face and voice verification for better security of personal data stored on, or accessible from, a mobile platform.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c34b0512298e18f01b44c196f5746f0
https://doi.org/10.1109/mprv.2012.54
https://doi.org/10.1109/mprv.2012.54
Autor:
Jean-François Bonastre, Anthony Larcher, Haizhou Li, Christophe Lévy, Kong Aik Lee, Jean-Yves Parfait, Benoit Fauve, John Mason
Publikováno v:
INTERSPEECH
Scopus-Elsevier
Scopus-Elsevier
ALIZE is an open-source platform for speaker recognition. The ALIZE library implements a low-level statistical engine based on the well-known Gaussian mixture modelling. The toolkit includes a set of high level tools dedicated to speaker recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b8388360ca0c672ec8d31fd085177f
https://doi.org/10.21437/interspeech.2013-634
https://doi.org/10.21437/interspeech.2013-634
Autor:
Josef Kittler, Matti Pietikäinen, Abdenour Hadid, Timothy F. Cootes, Pavel Matejka, Anthony Larcher, Chris McCool, Sébastien Marcel, Jean-François Bonastre, Phil Tresadern, Norman Poh, Jan Cernock #x Fd, Christophe Lévy, Driss Matrouf
Publikováno v:
ICME Workshops
2012 IEEE International Conference on Multimedia and Expo Workshops
IEEE International Conference on Multimedia and Expo (ICME)
IEEE International Conference on Multimedia and Expo (ICME), Jul 2012, Melbourne, Australia. ⟨10.1109/ICMEW.2012.116⟩
2012 IEEE International Conference on Multimedia and Expo Workshops
IEEE International Conference on Multimedia and Expo (ICME)
IEEE International Conference on Multimedia and Expo (ICME), Jul 2012, Melbourne, Australia. ⟨10.1109/ICMEW.2012.116⟩
International audience; This paper presents a novel fully automatic bi-modal, face and speaker, recognition system which runs in real-time on a mobile phone. The implemented system runs in real-time on a Nokia N900 and demonstrates the feasibility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9f61bc073308b6ffdddc9c41facf9e
https://doi.org/10.1109/icmew.2012.116
https://doi.org/10.1109/icmew.2012.116
Autor:
Lorenzo Palestini, Romolo Toppi, Emanuele Ciavattini, Emiliano Capucci, Marco Lattuada, Ferruccio Bettarelli, Ariano Lattanzi, Francesco Piazza, Simon Thabuteau, Donatella Sciuto, Francois Capman, Stefania Cecchi, Jose Gabriel de Figueiredo Coutinho, Christian Pilato, Wayne Luk, Jean-Francois Bonastre, Fabrizio Ferrandi, Christophe Lévy, Andrea Primavera, Paolo Peretti
Publikováno v:
Hardware/Software Co-design for Heterogeneous Multi-core Platforms ISBN: 9789400714052
In the last decade automotive audio has been gaining great attention by the scientific and industrial communities. In this context, a new approach to test and develop advanced audio algorithms for an heterogeneous embedded platform has been proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a601928d71080df544e2d6e0b3b0d4c4
http://hdl.handle.net/11311/630183
http://hdl.handle.net/11311/630183
Publikováno v:
SAC
Mistral is an open source software for biometrics applications. This software, based on the well-known UBM/GMM approach includes also the latest speaker recognition developments such as latent factor analysis, unsupervised adaptation or SVM supervect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e707046c60a69fb2338d834a3e46ee3e
https://doi.org/10.1145/1774088.1774411
https://doi.org/10.1145/1774088.1774411
Autor:
Norman Poh, Jui-Yu Hung, Pavel Matějka, Juan Arturo Nolazco-Flores, Sandra Mau, Sébastien Marcel, David Monzo, Jan Cernocký, Chris McCool, Jean-François Bonastre, Vineeth N Balasubramanian, Yi-Ping Hung, Ping-Han Lee, Sethuraman Panchanathan, Markus Turtinen, Leibny Paola Garcia-Perera, John Mason, Roberto Paredes, Yan Wang, Hieu V. Nguyen, Timo Ahonen, Zdeněk Jančík, Si-Wei Wu, Benoit Fauve, Christophe Lévy, Li Bai, Lukáš Machlica, Chi-Ho Chan, Anthony Larcher, Mauricio Villegas, Oldřich Plchot, Ondřej Glembek, Driss Matrouf, Matti Niskanen, Conrad Sanderson, Josef Kittler, Antonio Albiol, Shayok Chakraborty, Roberto Aceves-Lopez
Publikováno v:
Recognizing Patterns in Signals, Speech, Images and Videos ISBN: 9783642177101
ICPR Contests
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ICPR Contests
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
This paper evaluates the performance of face and speaker verification techniques in the context of a mobile environment. The mobile environment was chosen as it provides a realistic and challenging test-bed for biometric person verification technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a434dc9af2d9e5f987876bcc2f0c92
https://doi.org/10.1007/978-3-642-17711-8_22
https://doi.org/10.1007/978-3-642-17711-8_22
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2009 (2009)
Speech recognition applications are known to require a significant amount of resources. However, embedded speech recognition only authorizes few KB of memory, few MIPS, and small amount of training data. In order to fit the resource constraints of em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a745b97a3d01c044d276b29ef83cedee
https://doaj.org/article/3dcb7b2dfa59413ca547718d48c622de
https://doaj.org/article/3dcb7b2dfa59413ca547718d48c622de
Publikováno v:
INTERSPEECH
In this paper, a new strategy for a fast adaptation of acoustic models is proposed for embedded speech recognition. It relies on a general GMM, which represents the whole acoustic space, associated with a set of HMM state-dependent probability functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21557d50fbeef49dc9ba340bd0fd728a
https://doi.org/10.21437/interspeech.2007-123
https://doi.org/10.21437/interspeech.2007-123
Publikováno v:
ICASSP (5)
We present several methods able to fit speech recognition system requirements to cellular phone resources. The proposed techniques are evaluated on a digit recognition task using both French and English corpora. We investigate particularly three aspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::929af5d77222d2c7e5922fa009eccc39
https://doi.org/10.1109/icassp.2004.1327109
https://doi.org/10.1109/icassp.2004.1327109