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pro vyhledávání: '"Weiß, Christof"'
Many tasks in music information retrieval (MIR) involve weakly aligned data, where exact temporal correspondences are unknown. The connectionist temporal classification (CTC) loss is a standard technique to learn feature representations based on weak
Externí odkaz:
http://arxiv.org/abs/2304.05032
Autor:
Weiß, Christof, Peeters, Geoffroy
Extracting pitch information from music recordings is a challenging but important problem in music signal processing. Frame-wise transcription or multi-pitch estimation aims for detecting the simultaneous activity of pitches in polyphonic music recor
Externí odkaz:
http://arxiv.org/abs/2202.09198
Publikováno v:
Phys. Rev. D 87, 013010 (2013)
We study a supersymmetric version of the seesaw mechanism type-III considering two variants of the model: a minimal version for explaining neutrino data with only two copies of 24-plet superfields and a model with three generations of 24-plets. The l
Externí odkaz:
http://arxiv.org/abs/1211.0289
The extraction of harmonic information from musical audio is fundamental for several music information retrieval tasks. In this paper, we propose novel harmonic audio features based on the perceptually-inspired tonal interval vector space, computed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::495a6191e54c2b96cd1e1cbbab039772
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2023, p832-839, 8p
Akademický článek
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This paper uses the emerging provision of human harmonic analyses to assess how reliably we can map from knowing only when chords and keys change to a full identification of what those chords and keys are. We do this with a simple implementation of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f7f7a813c07263470482b17d8e19a49
Autor:
Weiss, Christof, Peeters, Geoffroy
Publikováno v:
Proceedings of the 22nd International Society for Music Information Retrieval Conference
International Society for Music Information Retrieval Conference (ISMIR)
International Society for Music Information Retrieval Conference (ISMIR), Nov 2021, Virtual Event, France
International Society for Music Information Retrieval Conference (ISMIR)
International Society for Music Information Retrieval Conference (ISMIR), Nov 2021, Virtual Event, France
International audience; Despite the success of end-to-end approaches, chroma (or pitch-class) features remain a useful mid-level representation of music audio recordings due to their direct interpretability. Since traditional chroma variants obtained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2bff3bb4110fab8f02abd0e9bf2121
Autor:
Weiß, Christof, Zalkow, Frank, Arifi-Müller, Flora, Müller, Meinard, Koops, Hendrik Vincent, Volk, Anja, Grohganz, Harald G., Sub Multimedia, Multimedia
Publikováno v:
Journal on Computing and Cultural Heritage, 14(2), 1. Association for Computing Machinery (ACM)
This article presents a multimodal dataset comprising various representations and annotations of Franz Schubert’s song cycle Winterreise . Schubert’s seminal work constitutes an outstanding example of the Romantic song cycle—a central genre wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f75b07c59870d01c36a670de4429177b
https://dspace.library.uu.nl/handle/1874/412333
https://dspace.library.uu.nl/handle/1874/412333
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2022, p210-217, 8p