A Tutorial on Text-Independent Speaker Verification

Autor: Frédéric Bimbot, Jean-François Bonastre, Corinne Fredouille, Guillaume Gravier, Ivan Magrin-Chagnolleau, Sylvain Meignier, Teva Merlin, Javier Ortega-García, Dijana Petrovska-Delacrétaz, Douglas A. Reynolds

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 4, Pp 430-451 (2004)

This paper presents an overview of a state-of-the-art text-independent speaker verification system. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech para

Externí odkaz: https://doaj.org/article/25ca6e24b24746e2bf1765c3bf65355b

Barwise Compression Schemes For Audio-Based Music Structure Analysis

Autor: Axel Marmoret, Cohen, Jérémy E., Frédéric Bimbot

Publikováno v: Sound and Music Computing 2022
Sound and Music Computing 2022, Jun 2022, Saint-Etienne, France. ⟨10.5281/zenodo.6798330⟩
HAL

Music Structure Analysis (MSA) consists in segmenting a music piece in several distinct sections. We approach MSA within a compression framework, under the hypothesis that the structure is more easily revealed by a simplified representation of the or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dd5695ec19ff742d4d8ed782714f272

AI in the media and creative industries

Autor: Baptiste Caramiaux, Fabien Lotte, Joost Geurts, Giuseppe Amato, Malte Behrmann, Frédéric Bimbot, Fabrizio Falchi, Ander Garcia, Jaume Gibert, Guillaume Gravier, Hadmut Holken, Hartmut Koenitz, Sylvain Lefebvre, Antoine Liutkus, Andrew Perkis, Rafael Redondo, Enrico Turrin, Thierry Viéville, Emmanuel Vincent

Publikováno v: [Research Report] New European Media (NEM). 2019, pp.1-35
HAL

Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry. The creative sectors have always been ear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9c57257dac24efb4186f8a29a5853246
https://hal.inria.fr/hal-02125504

Multi-Channel Audio Source Separation Using Multiple Deformed References

Autor: Anaik Olivero, Emmanuel Vincent, Frédéric Bimbot, Nathan Souviraà-Labastie

Publikováno v: IEEE Transactions on Audio, Speech and Language Processing
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2015, 23 (11), pp.1775-1787. ⟨10.1109/taslp.2015.2450494⟩
IEEE Transactions on Audio, Speech and Language Processing, 2015, 23 (11), pp.1775-1787. ⟨10.1109/taslp.2015.2450494⟩

We present a general multi-channel source separation framework where additional audio references are available for one (or more) source(s) of a given mixture. Each audio reference is another mixture which is supposed to contain at least one source si

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e0e9ce44afd581ab29d4a79cc5f3b53
https://doi.org/10.1109/taslp.2015.2450494

Estimating the structural segmentation of popular music pieces under regularity constraints

Autor: Frédéric Bimbot, Gabriel Sargent, Emmanuel Vincent

Publikováno v: IEEE/ACM Transactions on Audio, Speech and Language Processing
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2017, ⟨10.1109/TASLP.2016.2635031⟩
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2017, ⟨10.1109/TASLP.2016.2635031⟩

International audience; Music structure estimation has recently emerged as a central topic within the field of Music Information Retrieval. Indeed, as music is a highly structured information stream, knowledge of how a music piece is organized repres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2bee6c1b633e3e0ed4d599ae5703755
https://hal.inria.fr/hal-01403210/file/Sargent_et_al_TASLP.pdf