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Thibault Langlois

Biographic Data

ID3820524
NAMEThibault Langlois
GIVEN NAMESThibault
FAMILY NAMELanglois
SIGNATURELANGLOIS T
AFFILIATIONSDI-FCUL Lisboa, Portugal
ORCID0000-0002-0931-3316
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2011
H-INDEX1
  • Short-term Feature Space and Music Genre Classification

    Gonçalo Marques, Thibault Langlois et al.•ARTICLE•Journal of New Music Research•2011•Cited by: 1•References: 8

    In music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to cla…

  • Short-term Feature Space and Music Genre Classification

    Gonçalo Marques, Thibault Langlois et al.•ARTICLE•Journal of New Music Research•2011•Cited by: 1•References: 8

    In music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to cla…

  • Short-term Feature Space and Music Genre Classification

    Gonçalo Marques, Thibault Langlois et al.•ARTICLE•Journal of New Music Research•2011•Cited by: 1•References: 8

    In music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to cla…

Artificial Intelligence (1 work) · Computer Science (1 work) · Feature vector (1 work) · Machine learning (1 work) · Markov chain (1 work) · Mathematics (1 work) · Music and Audio Processing (1 work) · Music Technology and Sound Studies (1 work) · Speech and Audio Processing (1 work)

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