AASP-L4: Music: Classification and Recognition |
| Session Type: Lecture |
| Time: Wednesday, March 28, 16:30 - 18:30 |
| Location: Room B-2 |
| Session Chair: Malcolm Slaney, Yahoo! Research
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AASP-L4.1: A REGRESSIVE BOOSTING APPROACH TO AUTOMATIC AUDIO TAGGING BASED ON SOFT ANNOTATOR FUSION
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| Rémi Foucard; Télécom ParisTech
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| Slim Essid; Télécom ParisTech
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| Mathieu Lagrange; IRCAM
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| Gaël Richard; Télécom ParisTech
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AASP-L4.2: PLAYING WITH TAGGING: A REAL-TIME TAGGING MUSIC PLAYER
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| Ju-Chiang Wang; National Taiwan University
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| Hsin-Min Wang; Academia Sinica
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| Shyh-Kang Jeng; National Taiwan University
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AASP-L4.3: MUSICAL GENRE CLASSIFICATION USING MELODY FEATURES EXTRACTED FROM POLYPHONIC MUSIC SIGNALS
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| Justin Salamon; Universitat Pompeu Fabra
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| Bruno Rocha; Universitat Pompeu Fabra
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| Emilia Gómez; Universitat Pompeu Fabra
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AASP-L4.4: ROBUST FEATURE EXTRACTION FOR AUTOMATIC RECOGNITION OF VIBRATO SINGING IN RECORDED POLYPHONIC MUSIC
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| Felix Weninger; Technische Universität München
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| Noam Amir; Tel Aviv University
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| Ofer Amir; Tel Aviv University
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| Irit Ronen; Tel Aviv University
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| Florian Eyben; Technische Universität München
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| Björn Schuller; Technische Universität München
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AASP-L4.5: ON THE AUTOMATIC IDENTIFICATION OF DIFFICULT EXAMPLES FOR BEAT TRACKING: TOWARDS BUILDING NEW EVALUATION DATASETS
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| Andre Holzapfel; INESC TEC
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| Matthew Davies; INESC TEC
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| Jose Ricardo Zapata; University Pompeu Fabra
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| Joao Lobato Oliveira; INESC TEC
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| Fabien Gouyon; INESC TEC
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AASP-L4.6: TOWARD MUSICALLY-MOTIVATED AUDIO FINGERPRINTS
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| Peter Grosche; Saarland University and MPI Informatik
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| Meinard Mueller; Saarland University and MPI Informatik
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