2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

AUD-3: Music Signal Analysis, Processing, and Synthesis 1: Deep Learning

Session Type: Poster
Time: Tuesday, 8 June, 14:00 - 14:45
Location: Gather.Town
Virtual Session: View on Virtual Platform
Session Chair: Nicholas Bryan, Adobe Research
 
 AUD-3.1: DEEPF0: END-TO-END FUNDAMENTAL FREQUENCY ESTIMATION FOR MUSIC AND SPEECH SIGNALS
         Satwinder Singh; Massey University
         Ruili Wang; Massey University
         Yuanhang Qiu; Massey University
 
 AUD-3.2: DIFFERENTIABLE SIGNAL PROCESSING WITH BLACK-BOX AUDIO EFFECTS
         Marco A Martínez Ramírez; Queen Mary University of London
         Oliver Wang; Adobe Inc.
         Paris Smaragdis; Adobe Inc.
         Nicholas J. Bryan; Adobe Research
 
 AUD-3.3: AUTOMATIC MULTITRACK MIXING WITH A DIFFERENTIABLE MIXING CONSOLE OF NEURAL AUDIO EFFECTS
         Christian J. Steinmetz; Dolby Laboratories and Universitat Pomepu Fabra
         Jordi Pons; Dolby Laboratories
         Santiago Pascual; Dolby Laboratories
         Joan Serrà; Dolby Laboratories
 
 AUD-3.4: SEQUENCE-TO-SEQUENCE SINGING VOICE SYNTHESIS WITH PERCEPTUAL ENTROPY LOSS
         Jiatong Shi; The Johns Hopkins University
         Shuai Guo; Renmin University of China
         Nan Huo; The Johns Hopkins University
         Yuekai Zhang; The Johns Hopkins University
         Qin Jin; Renmin University of China
 
 AUD-3.5: REVERB CONVERSION OF MIXED VOCAL TRACKS USING AN END-TO-END CONVOLUTIONAL DEEP NEURAL NETWORK
         Junghyun Koo; Seoul National University
         Seungryeol Paik; Seoul National University
         Kyogu Lee; Seoul National University
 
 AUD-3.6: EXTENDING MUSIC BASED ON EMOTION AND TONALITY VIA GENERATIVE ADVERSARIAL NETWORK
         Bo-Wei Tseng; National Chiao Tung University
         Yih-Liang Shen; National Chiao Tung University
         Tai-Shih Chi; National Chiao Tung University