• DocumentCode
    1649788
  • Title

    Does inharmonicity improve an NMF-based piano transcription model?

  • Author

    Rigaud, Francois ; Falaize, Antoine ; David, Barak ; Daudet, Laurent

  • Author_Institution
    Inst. Telecom, Telecom ParisTech, Paris, France
  • fYear
    2013
  • Firstpage
    11
  • Lastpage
    15
  • Abstract
    This paper investigates how precise a model should be for a robust model-based NMF analysis of piano recordings. While inharmonicity is an essential feature of piano tones from a perceptual point of view, its explicit inclusion in sound models is not straightforward and may even damage the quality of the analysis. Here, we assess the quality of the analysis with a transcription task, and compare three different models for the spectra of the dictionary: one strictly harmonic, one following the theoretical inharmonicity law, and one with relaxed inharmonicity constraints. Experimental results show that both inharmonic models can indeed significantly enhance the results, but only in the case when a good initialization is provided.
  • Keywords
    acoustic signal processing; matrix decomposition; music; musical instruments; sound reproduction; spectral analysis; NMF-based piano transcription model; dictionary spectra; piano recordings; piano tones; relaxed inharmonicity constraints; robust model-based NMF analysis; sound models; theoretical inharmonicity law; transcription task; Analytical models; Cost function; Dictionaries; Harmonic analysis; Speech; Speech processing; Tuning; inharmonicity; music transcription; non-negative matrix factorization; piano;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637599
  • Filename
    6637599