IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-1: Deep Learning for Audio and Music Applications
Sun, 8 May, 20:00 - 20:45 China Time (UTC +8)
Sun, 8 May, 12:00 - 12:45 UTC
Location: Gather Area F
Session Chair: Jianwu Dang, Japan Advanced Institute of Science and Technology
Track: Machine Learning for Signal Processing

MLSP-1.1: DIRECT DESIGN OF BIQUAD FILTER CASCADES WITH DEEP LEARNING BY SAMPLING RANDOM POLYNOMIALS
Joseph Colonel, Christian Steinmetz, Joshua Reiss, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Marcus Michelen, University of Illinois at Chicago, United States of America

MLSP-1.2: AN END-TO-END DEEP LEARNING SPEECH CODING AND DENOISING STRATEGY FOR COCHLEAR IMPLANTS
Tom Gajecki, Waldo Nogueira, Hannover Medical School, Germany

MLSP-1.3: EXPLOITING HYBRID MODELS OF TENSOR-TRAIN NETWORKS FOR SPOKEN COMMAND RECOGNITION
Jun Qi, Georgia Institute of Technology, United States of America; Javier Tejedor, Universidad San Pablo-CEU, CEU Universities, Spain

MLSP-1.4: Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Gaëtan Frusque, Olga Fink, ETH Zürich, Switzerland

MLSP-1.5: MUSIC ENHANCEMENT VIA IMAGE TRANSLATION AND VOCODING
Nikhil Kandpal, University of North Carolina at Chapel Hill, United States of America; Oriol Nieto, Zeyu Jin, Adobe, United States of America

MLSP-1.6: PROGRESSIVE TEACHER-STUDENT TRAINING FRAMEWORK FOR MUSIC TAGGING
Rui Lu, Baigong Zheng, Jiarui Hai, Fei Tao, Zhiyao Duan, Ji Liu, Kuaishou Technology, China