Zobrazeno 1 - 10 of 40 pro vyhledávání: '"Viet-Bac Le"'
1
Challenges in Audio Processing of Terrorist-Related Data
Autor: Bianca Vieru, Abdel Messaoudi, Jean-Luc Gauvain, J. L. Gauvain, Julien Despres, Viet Bac Le, Lori Lamel, Waad Ben Kheder
Publikováno v: International Conference on Multimedia Modeling
International Conference on Multimedia Modeling, Springer, Jan 2019, Thessaloniki, Greece
MultiMedia Modeling ISBN: 9783030057152
MMM (2)
International audience; Much information in multimedia data related to terrorist activity can be extracted from the audio content. Our work in ongoing projects aims to provide a complete description of the audio portion of multimedia documents. The i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cbfbb9bc4f5422b483eda0beb2fb8c5
https://hal.archives-ouvertes.fr/hal-02415176
Zobrazit plný text záznamu
2
Lexical speaker identification in TV shows
Autor: Anindya Roy, Claude Barras, Viet Bac Le, Jean-Luc Gauvain, William Hartmann, Hervé Bredin
Publikováno v: Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2015, 74 (4), pp.1377-1396. ⟨10.1007/s11042-014-1940-3⟩
The final publication is available at https://link.springer.com/article/10.1007/s11042-014-1940-3; International audience; It is possible to use lexical information extracted from speech transcripts for speaker identification (SID), either on its own
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c04531b35677c95eb43184f93862fb0f
https://doi.org/10.1007/s11042-014-1940-3
Zobrazit plný text záznamu
5
Improving data selection for low-resource STT and KWS
Autor: Jean-Luc Gauvain, Abdel Messaoudi, Thiago Fraga-Silva, Viet Bac Le, Lori Lamel, Antoine Laurent
Publikováno v: ASRU
ASRU 2015
ASRU 2015, Dec 2015, Scottsdale, United States
This paper extends recent research on training data selection for speech transcription and keyword spotting system development. Selection techniques were explored in the context of the IARPA-Babel Active Learning (AL) task for 6 languages. Different
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52a78cd829ddc984bc56ebc8d1d49476
https://doi.org/10.1109/asru.2015.7404788
Zobrazit plný text záznamu
6
Active learning based data selection for limited resource STT and KWS
Autor: Jean-Luc Gauvain, Viet Bac Le, Lori Lamel, Antoine Laurent, Abdelkhalek Messaoudi, Thiago Fraga-Silva
Publikováno v: INTERSPEECH
Interspeech 2015
Interspeech 2015, Sep 2015, Dresden, Germany
This paper presents first results in using active learning (AL) for training data selection in the context of the IARPABabel program. Given an initial training data set, we aim to automatically select additional data (from an untranscribed pool data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d3972d881e8bc49697e1f60e5f9ca8f
https://doi.org/10.21437/interspeech.2015-636
Zobrazit plný text záznamu
7
Developing STT and KWS systems using limited language resources
Autor: Viet Bac Le, Lori Lamel, Cécile Woehrling, Anindya Roy, Julien Despres, Jean-Luc Gauvain, William Hartmann, Abdelkhalek Messaoudi
Publikováno v: INTERSPEECH
This paper presents recent progress in developing speech-totext (STT) and keyword spotting (KWS) systems for the 2014 IARPA-Babel evaluation. Systems have been developed for the limited language pack condition for four of the five development languag
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fec6efd76961329839ac93e027bbe78
https://doi.org/10.21437/interspeech.2014-527
Zobrazit plný text záznamu
8
Comparing decoding strategies for subword-based keyword spotting in low-resourced languages
Autor: Viet Bac Le, Lori Lamel, Jean-Luc Gauvain, Abdelkhalek Messaoudi, William Hartmann
Publikováno v: INTERSPEECH
Annual Conference of the International Speech Communication Association
Annual Conference of the International Speech Communication Association, ISCA, Sep 2014, Singapore, Singapore
International audience; For languages with limited training resources, out-of-vocabulary (OOV) words are a significant problem, both fortranscription and keyword spotting. This paper investigates theuse of subword lexical units for keyword spotting.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3652ee15719193b901d2db15c348daf
https://doi.org/10.21437/interspeech.2014-528
Zobrazit plný text záznamu
9
Combination of Cepstral and Phonetically Discriminative Features for Speaker Verification
Autor: Cong-Thanh Do, Viet Bac Le, Claude Barras, Achintya Kumar Sarkar
Publikováno v: IEEE Signal Processing Letters
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, 21 (9), pp.1040-1044. ⟨10.1109/LSP.2014.2323432⟩
International audience; Most speaker recognition systems rely on short-term acoustic cepstral features for extracting the speaker-relevant information from the signal. But phonetic discriminant features, extracted by a bottleneck multi-layer perceptr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b6034d4d51091077cd9937201f7988b
https://hal.archives-ouvertes.fr/hal-01690336
Zobrazit plný text záznamu
10
Person instance graphs for mono-, cross- and multi-modal person recognition in multimedia data: application to speaker identification in TV broadcast
Autor: Viet Bac Le, Anindya Roy, Hervé Bredin, Claude Barras
Publikováno v: International Journal of Multimedia Information Retrieval
International Journal of Multimedia Information Retrieval, Springer, 2014, 3 (3), pp.161-175. ⟨10.1007/s13735-014-0055-y⟩
The final publication is available at https://link.springer.com/article/10.1007/s13735-014-0055-y; International audience; This work introduces a unified framework for mono-, cross-and multi-modal person recognition in multimedia data. Dubbed Person
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87aeecccf19eec8f4ed6f27093de96ad
https://hal.archives-ouvertes.fr/hal-01690350/document
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje