MLSP-L7: Machine Learning Applications III |
Session Type: Lecture |
Time: Thursday, 7 May, 16:30 - 18:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Tao Zhang, Starkey
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MLSP-L7.1: ENERGY DISAGGREGATION USING FRACTIONAL CALCULUS |
Pascal Schirmer; University of Hertfordhshire |
Iosif Mporas; University of Hertfordhshire |
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MLSP-L7.2: 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 |
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MLSP-L7.3: 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 |
Gaƫl Richard; LTCI, Telecom Paris, Institut Polytechnique Paris |
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MLSP-L7.4: 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 |
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MLSP-L7.5: 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 |
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MLSP-L7.6: 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 |
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