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Transcribing Debussy’s Syrinx dynamics through Linguistic Description: the MUDELD algorithm

Ros, Maria and Molina-Solana, Miguel and Delgado, Miguel and Fajardo, Waldo and Vila, Amparo
Fuzzy Sets and Systems , 285, pp. 199–216 (2016)

Abstract:

Advances in computational power have enabled the manipulation of music audio files and the emergence of the \textitMusic Information Retrieval field. One of the main research lines in this area is that of \textitMusic Transcription, which aims at transforming an audio file into musical notation. So far, most efforts have focused on accurately transcribing the pitch and durations of the notes, and thus neglecting other aspects in the music score. The present work explores a novel line of action in the context of automatic music transcription, focusing on the dynamics, and by means of \textitLinguistic Description. The process described in this paper (called \textitMUDELD: \textbfMUsic \textbfDynamics \textbfExtraction through \textbfLinguistic \textbfDescription) departs from the data series representing the audio file, and requires the segmentation of the piece in phrases, which is currently done by hand. Initial experiments have been performed on eight recordings of Debussy’s \textitSyrinx with promising results.

Links:

DOI: 10.1016/j.fss.2015.08.004
PDF: https://www.doc.ic.ac.uk/ mmolinas/publications/ros-fss15.pdf

Bibtex:

@article{Ros2015,
  title = {Transcribing Debussy's Syrinx dynamics through Linguistic Description: the MUDELD algorithm},
  author = {Ros, Maria and Molina-Solana, Miguel and Delgado, Miguel and Fajardo, Waldo and Vila, Amparo},
  journal = {Fuzzy Sets and Systems},
  year = {2016},
  pages = {199--216},
  volume = {285},
  comment = {https://www.doc.ic.ac.uk/~mmolinas/publications/ros-fss15.pdf},
  doi = {10.1016/j.fss.2015.08.004},
  timestamp = {07}
}