Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Buffa, Michel"'
We present the WASABI Song Corpus, a large corpus of songs enriched with metadata extracted from music databases on the Web, and resulting from the processing of song lyrics and from audio analysis. More specifically, given that lyrics encode an impo
Externí odkaz:
http://arxiv.org/abs/1912.02477
Autor:
Gandon, Fabien, Michel, Franck, Corby, Olivier, Buffa, Michel, Tettamanzi, Andrea, Zucker, Catherine Faron, Cabrio, Elena, Villata, Serena
This article is a collective position paper from the Wimmics research team, expressing our vision of how Web graph data technologies should evolve in the future in order to ensure a high-level of interoperability between the many types of application
Externí odkaz:
http://arxiv.org/abs/1903.04181
Autor:
Gandon, Fabien Lucien, Buffa, Michel, Cabrio, Elena, Faron-Zucker, Catherine, Giboin, Alain, Thanh, Nhan Le, Mirbel, Isabelle, Sander, Peter, Tettamanzi, Andrea G. B., Villata, Serena
Publikováno v:
5h International Conference, ICEIS 2013 190 (2013) 3-15
This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics. The approaches introduced here rely on graph-oriented knowledge representation, reasoning a
Externí odkaz:
http://arxiv.org/abs/1408.7092
Social Network Analysis (SNA) tries to understand and exploit the key features of social networks in order to manage their life cycle and predict their evolution. Increasingly popular web 2.0 sites are forming huge social network. Classical methods f
Externí odkaz:
http://arxiv.org/abs/0904.3701
Akademický článek
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Publikováno v:
SMC 2022-Sound and Music Computing 2022
SMC 2022-Sound and Music Computing 2022, Jun 2022, Saint-Etienne, France
SMC 2022-Sound and Music Computing 2022, Jun 2022, Saint-Etienne, France
International audience; Web technology through the internet and a web browser, is attractive to modern computer music artists as it provides high accessibility and interactivity and opens to possibilities. Since the development of JSPatcher [1], an o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac4751369b23ec7ef72572d69c7b9f2
https://inria.hal.science/hal-03812972
https://inria.hal.science/hal-03812972
Akademický článek
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Autor:
Buffa, Michel
Publikováno v:
ADC 2022-Audio Developer Conference
ADC 2022-Audio Developer Conference, Nov 2022, Londres, United Kingdom
ADC 2022-Audio Developer Conference, Nov 2022, Londres, United Kingdom
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::031868d920675d917e86e853bdec021e
https://hal.inria.fr/hal-03871660
https://hal.inria.fr/hal-03871660
Publikováno v:
WAC 2022-Web Audio Conference 2022
WAC 2022-Web Audio Conference 2022, Jul 2022, Cannes, France
WAC 2022-Web Audio Conference 2022, Jul 2022, Cannes, France
WebAudio Modules 2.0 (aka WAM) is a standard for developing interoperable host and plugins that can be written using different development approaches (JavaScript, build systems, TypeScript, FAUST, Csound, front-end frameworks, etc.). The WAM standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7309dcb8e88718e90af76dab8b6539ca
https://inria.hal.science/hal-03812916
https://inria.hal.science/hal-03812916
Autor:
Shihong Ren, Letz, Stéphane, Orlarey, Yann, Fober, Dominique, Michon, Romain, Buffa, Michel, Pottier, Laurent
Publikováno v:
WAC 2022-7th International Web Audio Conference
WAC 2022-7th International Web Audio Conference, Jul 2022, Cannes, France. ⟨10.5281/zenodo.6767596⟩
WAC 2022-7th International Web Audio Conference, Jul 2022, Cannes, France. ⟨10.5281/zenodo.6767596⟩
International audience; Faust, as an audio domain specific language (DSL) for DSP, has different compilation targets including WebAudio nodes. An AudioWorklet processor wrapping a WebAssembly DSP can be generated statically from native platform compi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52120951d7bc4e7adee0c32a3650bd34