Improvements of Continuous Model for Memory-based Automatic Music Transcription
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00347257" target="_blank" >RIV/67985556:_____/10:00347257 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improvements of Continuous Model for Memory-based Automatic Music Transcription
Original language 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 restrictedparametrization 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP102%2F08%2FP250" target="_blank" >GP102/08/P250: Stochastic sequential sampling for identification adn control of distributed systems</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th European signal processing conference
ISBN
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ISSN
2076-1465
e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Eurasip
Place of publication
Aalborg
Event location
Aalborg
Event date
Jul 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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