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FR2.I: Music Signal Processing II

Session Type: Lecture
Time: Friday, 8 May, 11:45 - 13:45
Location: On-Demand
Session Chair: Mike Mandel, City University of New York
 
   FR2.I.1: MODELING PLATE AND SPRING REVERBERATION USING A DSP-INFORMED DEEP NEURAL NETWORK
         Marco A. Martínez Ramírez; Queen Mary University of London
         Emmanouil Benetos; Queen Mary University of London
         Joshua D. Reiss; Queen Mary University of London
 
   FR2.I.2: DEEP AUTOTUNER: A PITCH CORRECTING NETWORK FOR SINGING PERFORMANCES
         Sanna Wager; Indiana University Bloomington
         George Tzanetakis; University of Victoria
         Cheng-i Wang; Smule, Inc
         Minje Kim; Indiana University Bloomington
 
   FR2.I.3: PERCEPTUAL LOSS FUNCTION FOR NEURAL MODELLING OF AUDIO SYSTEMS
         Alec Wright; Aalto University
         Vesa Välimäki; Aalto University
 
   FR2.I.4: ONE-SHOT PARAMETRIC AUDIO PRODUCTION STYLE TRANSFER WITH APPLICATION TO FREQUENCY EQUALIZATION
         Stylianos I. Mimilakis; Fraunhofer-IDMT
         Nicholas J. Bryan; Adobe
         Paris Smaragdis; Adobe and University of Illinois at Urbana-Champaign
 
   FR2.I.5: SPEECH-TO-SINGING CONVERSION IN AN ENCODER-DECODER FRAMEWORK
         Jayneel Parekh; Telecom Paris, Institut Polytechnique de Paris
         Preeti Rao; Indian Institute of Technology Bombay
         Yi-Hsuan Yang; Academia Sinica
 
   FR2.I.6: TENSORFLOW AUDIO MODELS IN ESSENTIA
         Pablo Alonso-Jiménez; Universitat Pompeu Fabra
         Dmitry Bogdanov; Universitat Pompeu Fabra
         Jordi Pons; Dolby Laboratories
         Xavier Serra; Universitat Pompeu Fabra