Technical Program

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