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Emmanuel Vincent

Biographic Data

ID3820469
NAMEEmmanuel Vincent
GIVEN NAMESEmmanuel
FAMILY NAMEVincent
SIGNATUREVINCENT E
AFFILIATIONSInstitut national de recherche en sciences et technologies du numérique
ORCID0000-0002-0183-7289
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2013
H-INDEX1
  • Melody Harmonization With Interpolated Probabilistic Models

    Stanislaw Raczynski, Stanisław A Raczyński et al.•ARTICLE•Journal of New Music Research•2013•Cited by: 2•References: 15

    Most melody harmonization systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody. Relations to other variables, such as the tonality or the metric structure, are handled by training multiple HMMs or are ignored. In this paper, we propose a discriminative means of combining multiple probabilistic models of various musical variables by means of model interpolation. We evaluat…

  • Melody Harmonization With Interpolated Probabilistic Models

    Stanislaw Raczynski, Stanisław A Raczyński et al.•ARTICLE•Journal of New Music Research•2013•Cited by: 2•References: 15

    Most melody harmonization systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody. Relations to other variables, such as the tonality or the metric structure, are handled by training multiple HMMs or are ignored. In this paper, we propose a discriminative means of combining multiple probabilistic models of various musical variables by means of model interpolation. We evaluat…

  • Melody Harmonization With Interpolated Probabilistic Models

    Stanislaw Raczynski, Stanisław A Raczyński et al.•ARTICLE•Journal of New Music Research•2013•Cited by: 2•References: 15

    Most melody harmonization systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody. Relations to other variables, such as the tonality or the metric structure, are handled by training multiple HMMs or are ignored. In this paper, we propose a discriminative means of combining multiple probabilistic models of various musical variables by means of model interpolation. We evaluat…

Artificial Intelligence (1 work) · Computer Science (1 work) · Conditional entropy (1 work) · Discriminative model (1 work) · Generative grammar (1 work) · Generative model (1 work) · Harmonization (1 work) · Hidden Markov model (1 work) · Melody (1 work) · Music and Audio Processing (1 work)

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