AASP-L3: Source Separation: Music and Speech |
Session Type: Lecture |
Time: Wednesday, March 28, 14:00 - 16:00 |
Location: Room B-2 |
Session Chair: Paris Smaragdis, University of Illinois
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AASP-L3.1: GAUSSIAN MIXTURE MODELS FOR SCORE-INFORMED INSTRUMENT SEPARATION
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Pablo Sprechmann; University of Minnesota
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Pablo Cancela; Universidad de la Republica
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Guillermo Sapiro; University of Minnesota
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AASP-L3.2: ADAPTIVE FILTERING FOR MUSIC/VOICE SEPARATION EXPLOITING THE REPEATING MUSICAL STRUCTURE
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Antoine Liutkus; Télécom ParisTech / CNRS LTCI
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Zafar Rafii; Northwestern University
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Roland Badeau; Télécom ParisTech / CNRS LTCI
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Bryan Pardo; Northwestern University
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Gaël Richard; Télécom ParisTech / CNRS LTCI
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AASP-L3.3: SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING ROBUST PRINCIPAL COMPONENT ANALYSIS
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Po-Sen Huang; University of Illinois at Urbana-Champaign
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Scott Deeann Chen; University of Illinois at Urbana-Champaign
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Paris Smaragdis; University of Illinois at Urbana-Champaign
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Mark Hasegawa-Johnson; University of Illinois at Urbana-Champaign
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AASP-L3.4: SUPERVISED AND SEMI-SUPERVISED SUPPRESSION OF BACKGROUND MUSIC IN MONAURAL SPEECH RECORDINGS
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Felix Weninger; Technische Universität München
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Jordi Feliu; Technische Universität München
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Björn Schuller; Technische Universität München
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AASP-L3.5: ON MUTUAL INFORMATION AS A MEASURE OF SPEECH INTELLIGIBILITY
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Jalal Taghia; Ruhr-Universität Bochum
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Richard C. Hendriks; Delft University of Technology
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Rainer Martin; Ruhr-Universität Bochum
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AASP-L3.6: SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT OF SINGLE-CHANNEL SPEECH SEPARATION ALGORITHMS
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Pejman Mowlaee; Ruhr-Universität Bochum
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Rahim Saeidi; University of Eastern Finland
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Mads Græsbøll Christensen; Aalborg University
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Rainer Martin; Ruhr-Universität Bochum
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