AASP-P5: Music Separation and Transcription
Poster
Tue, 5 May, 16:30 - 18:30
Location: Poster Area 26
Session Type: Poster
Track: Audio and Acoustic Signal Processing [AA]
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AASP-P5.1: A Hybrid Convolution-Mamba Network With Tone-Octave Contrastive Learning For Stratified Semi-supervised Singing Melody Extraction
Kangjie Dong, Donghua University, China; Shicheng Ding, Tabor Academy, United States of America; Shuai Yu, Dalian University of Technology, China; Wei Li, Fudan University, China

AASP-P5.2: Diff-VS: Efficient Audio-Aware Diffusion U-Net for Vocals Separation
Yun-Ning (Amy) Hung, Richard Vogl, Filip Korzeniowski, Igor Pereira, Moises, United States of America

AASP-P5.3: BEATMAMBA: BIDIRECTIONAL SELECTIVE STATE-SPACE MODELING FOR EFFICIENT BEAT TRACKING
Ganghui Ru, Fudan university, China; Yi Yu, Hiroshima University, Japan; Wei Li, Fudan University, China

AASP-P5.4: TIMBRE-BASED PRETRAINING WITH PSEUDO-LABELS FOR MULTI-INSTRUMENT AUTOMATIC MUSIC TRANSCRIPTION
Rin Sato, Waseda University, Japan; Keitaro Tanaka, Shigeo Morishima, Waseda Research Institute for Science and Engineering, Japan

AASP-P5.5: TOWARDS BLIND DATA CLEANING: A CASE STUDY IN MUSIC SOURCE SEPARATION
Azalea (Yijie) Gui, Sony AI & University of Toronto, Canada; Woosung Choi, Junghyun Koo, Kazuki Shimada, Takashi Shibuya, Joan Serrà, Wei-Hsiang Liao, Sony AI, Japan; Yuki Mitsufuji, Sony AI & Sony Group Corporation, Japan

AASP-P5.6: SPECTROGRAM EVENT BASED FEATURE REPRESENTATION FOR GENERALIZABLE AUTOMATIC MUSIC TRANSCRIPTION
Penghao He, Ganghui Ru, Fudan University, China; Mingjin Che, Minzu University of China, China; Fan Xia, Zhejiang Conservatory of Music, China; Wei Li, Fudan University, China

AASP-P5.7: MC-MRX: REFERENCE- AND MIDI-GUIDED MUSIC SOURCE EXTRACTION WITH CONTRASTIVE LEARNING
Xueyan Chen, University of Science and Technology Beijing (USTB), China, China; Zexu Pan, Alibaba Group, Singapore, China; Ziyang Jiang, University of Science and Technology Beijing (USTB), China, China; Jiadong Wang, Technical University of Munich, Germany; Kainan Chen, Eigenspace GmbH, Germany, China; Xinyuan Qian, University of Science and Technology Beijing (USTB), China, China

AASP-P5.8: A DISTRIBUTION MATCHING APPROACH TO NEURAL PIANO TRANSCRIPTION WITH OPTIMAL TRANSPORT
Weixing Wei, Raynaldi Lalang, Kyoto University, Japan; Dichucheng Li, Independent Researcher, China; Kazuyoshi Yoshii, Kyoto University, Japan

AASP-P5.9: THE INVERSE DRUM MACHINE: SOURCE SEPARATION THROUGH JOINT TRANSCRIPTION AND ANALYSIS-BY-SYNTHESIS
Bernardo Torres, Geoffroy Peeters, Gaël Richard, Laboratoire de Traitement et Communication de l’Information (LTCI), France

AASP-P5.10: Embracing Cacophony: Explaining and Improving Random Mixing in Music Source Separation
Chang-Bin Jeon, Samsung Electronics, Korea, Republic of; Gordon Wichern, François Germain, Jonathan Le Roux, Mitsubishi Electric Research Laboratories, United States of America