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TH3.I: Machine Learning Applications III

Session Type: Lecture
Time: Thursday, 7 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Tao Zhang, Starkey
 
   TH3.I.1: ENERGY DISAGGREGATION USING FRACTIONAL CALCULUS
         Pascal Schirmer; University of Hertfordhshire
         Iosif Mporas; University of Hertfordhshire
 
   TH3.I.2: DYNA-BOLT: DOMAIN ADAPTIVE BINARY FACTORIZATION OF CURRENT WAVEFORMS FOR ENERGY DISAGGREGATION
         Bingqing Chen; Carnegie Mellon University
         Jingxiao Liu; Carnegie Mellon University
         Henning Lange; University of Washington
         Mario Berges; Carnegie Mellon University
 
  TH3.I.3: INDEPENDENT-VARIATION MATRIX FACTORIZATION WITH APPLICATION TO ENERGY DISAGGREGATION
         Simon Henriet; LTCI, Telecom Paris, Institut Polytechnique Paris
         Umut Simsekli; LTCI, Telecom Paris, Institut Polytechnique Paris
         Sergio Dos Santos; Smart Impulse
         Benoit Fuentes; Smart Impulse
         Gaël Richard; LTCI, Telecom Paris, Institut Polytechnique Paris
 
   TH3.I.4: UNSUPERVISED STYLE AND CONTENT SEPARATION BY MINIMIZING MUTUAL INFORMATION FOR SPEECH SYNTHESIS
         Ting-Yao Hu; Carnegie Mellon University
         Ashish Shrivastava; Apple
         Oncel Tuzel; Apple
         Chandra Dhir; Apple
 
   TH3.I.5: IMPROVING SINGING VOICE SEPARATION WITH THE WAVE-U-NET USING MINIMUM HYPERSPHERICAL ENERGY
         Joaquin Perez-Lapillo; City, University of London
         Oleksandr Galkin; City, University of London
         Tillman Weyde; City, University of London
 
   TH3.I.6: SINGING VOICE CONVERSION WITH DISENTANGLED REPRESENTATIONS OF SINGER AND VOCAL TECHNIQUE USING VARIATIONAL AUTOENCODERS
         Yin-Jyun Luo; Singapore University of Technology and Design
         Chin-Cheng Hsu; University of Southern California
         Kat Agres; Agency for Science, Technology and Research (A*STAR)
         Dorien Herremans; Singapore University of Technology and Design