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      Cognitive Science, Machine Learning, Linguistics, Speech Communication
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      Harmonic Analysis, Support Vector Machines, Speech Recognition, Music Information Retrieval
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      Audio Signal Processing, Music Information Retrieval
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      Signal Processing, Feature Selection, Musical Instruments, Gaussian Mixture
... FEATURES FOR INSTRUMENT RECOGNITION Sources 10 5 10 8 8 5 9 7 11 8 Tracks 19 9 26 24 24 13 73 20 31 15 Nb tests 682 287 1077 2173 2162 369 2399 2332 2447 1862 Total test (mn) 5.46 2.30 8.62 17.38 17.30 2.95 19.19 18.66 19.58 14.90... more
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      Rhythm, Audio Signal Processing, Taxonomy, Feature Selection
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      Musical Instruments, Learning Methods
... Benoit Mathieu, Slim Essid, Thomas Fillon, Jacques Prado, Gaël Richard Institut Telecom, Telecom ParisTech, CNRS/LTCI firstname.lastname@telecom-paristech.fr ABSTRACT ... We ran the feature extraction over about 40 hours of 32 KHz... more
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Page 1. A COMPARATIVE STUDY OF TONAL ACOUSTIC FEATURES FOR A SYMBOLIC LEVEL MUSIC-TO-SCORE ALIGNMENT Cyril Joder, Slim Essid, Gaël Richard Institut Télécom - Télécom ParisTech - CNRS/LTCI 37 rue Dareau, 75014 Paris, France ...
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    • Music Information Retrieval
... The task has been particularly difficult and time-consuming with some instruments for which unaccompanied solo perfor-mances may be very uncommon, as it is the case for the Bassoon. Additionally, Sax and Bb Clarinet solo ...
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      Principal Component Analysis, Support Vector Machines, Musical Instruments, Support vector machine
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      Taxonomy, Support Vector Machines, Clustering Algorithms, Musical Instruments
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      Feature Selection, Musical Instruments, Gaussian Mixture Model, IT Evaluation
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      Support Vector Machines, Musical Instruments, hidden Markov model, Gaussian Mixture Model