About: Improvements of Continuous Model for Memory-based Automatic Music Transcription     Goto   Sponge   NotDistinct   Permalink

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Description
  • Automatic music transcription is a process recovering the most likely combination of sounds that produced the recorded audio signal. We are concerned with memory-based approach, where the observed signal is modeled as a superposition of sounds from a library. Moreover, we assume that only parts of the sounds can be played. The number of possible combinations is excessive and exact estimation is computationally prohibitive. We propose to transform the original discrete-event model into a less restricted parametrization and impose the constraints in a soft way via prior information. The resulting model is a non-linear state-space model with Gaussian disturbances. The posterior estimates are evaluated by the extended Kalman filter. Performance of the model is studied in simulation and it is shown that it outperforms previously published methods.
  • Automatic music transcription is a process recovering the most likely combination of sounds that produced the recorded audio signal. We are concerned with memory-based approach, where the observed signal is modeled as a superposition of sounds from a library. Moreover, we assume that only parts of the sounds can be played. The number of possible combinations is excessive and exact estimation is computationally prohibitive. We propose to transform the original discrete-event model into a less restricted parametrization and impose the constraints in a soft way via prior information. The resulting model is a non-linear state-space model with Gaussian disturbances. The posterior estimates are evaluated by the extended Kalman filter. Performance of the model is studied in simulation and it is shown that it outperforms previously published methods. (en)
Title
  • Improvements of Continuous Model for Memory-based Automatic Music Transcription
  • Improvements of Continuous Model for Memory-based Automatic Music Transcription (en)
skos:prefLabel
  • Improvements of Continuous Model for Memory-based Automatic Music Transcription
  • Improvements of Continuous Model for Memory-based Automatic Music Transcription (en)
skos:notation
  • RIV/67985556:_____/10:00347257!RIV11-GA0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GP102/08/P250), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 263205
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/10:00347257
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • music transcription; extended Kalman filter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1710813B56A6]
http://linked.open...v/mistoKonaniAkce
  • Aalborg
http://linked.open...i/riv/mistoVydani
  • Aalborg
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 18th European signal processing conference
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Šmídl, Václav
  • Albrecht, Š.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 2076-1465
number of pages
http://purl.org/ne...btex#hasPublisher
  • Eurasip
is http://linked.open...avai/riv/vysledek of
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