Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Olivier Le Blouch"'
Publikováno v:
INTERSPEECH
Fusion of scores is a cornerstone of multimodal biometric systems composed of independent unimodal parts. In this work, we focus on quality-dependent fusion for speaker-face verification. To this end, we propose a universal model which can be trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29d6ff8aa96b6a246e384b06d1be639
Autor:
Frédéric Herledan, Munshi Asadullah, Emmanuel Mory, Géraldine Damnati, Olivier Le-Blouch, Martinho Dos-Santos, Lina M. Rojas Barahona, Johannes Heinecke, Jeanyves. Lancien, Pascal Bellec, Benoit Besset
Publikováno v:
SIGdial
We present a spoken conversational question answering proof of concept that is able to answer questions about general knowledge from Wikidata. The dialogue component does not only orchestrate various components but also solve coreferences and ellipsi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eadaa7ee71da5575c55493ec7097dc85
http://arxiv.org/abs/1909.11980
http://arxiv.org/abs/1909.11980
Publikováno v:
ICASSP
This paper follows the recent advances in speech recognition which recommend replacing the standard hybrid GMM/HMM approach by deep neural architectures. These models were shown to drastically improve recognition performances, due to their ability to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4daaa3a0b6bde2b1c5166ff955a7df5c
https://doi.org/10.1109/icassp.2014.6854639
https://doi.org/10.1109/icassp.2014.6854639
Publikováno v:
Proceedings of the 2011 ACM international workshop on Automated media analysis and production for novel TV services.
This paper addresses the problem of unsupervised detection of recurrent audio segments in TV programs toward program structuring. Recurrent segments are the key elements in the process of program structuring. This allows a direct and non linear acces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd92ccb0159d1f3c5108bd99cfdfbd7f
https://doi.org/10.1145/2072552.2072556
https://doi.org/10.1145/2072552.2072556