AASP-P3.7
Text2midi-InferAlign: Improving Symbolic Music Generation with Inference-Time Alignment
Abhinaba Roy, Geeta Puri, Dorien Herremans, Singapore University of Technology and Design, Singapore
Session:
AASP-P3: Music Generation II Poster
Track:
Audio and Acoustic Signal Processing [AA]
Location:
Poster Area 27
Presentation Time:
Tue, 5 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session AASP-P3
AASP-P3.1: Sing2Song: An Accompaniment Generation System based on Solo Singing
Sen Ho Choi, Isaac Fung Chap, Huicheng Zhang, Yulun Wu, Yueqiao Zhang, Hao Shen, Huu Quyen Dang, Zhili Tan, Simon Lui, Huawei Technologies Co., Ltd., China; Qiuqiang Kong, The Chinese University of Hong Kong, Hong Kong; Yaolong Ju, Great Bay University, China
AASP-P3.2: DIFFERENTIABLE PULSETABLE SYNTHESIS FOR WIND INSTRUMENT MODELING
Simon Schwär, International Audio Laboratories Erlangen, Germany; Christian Dittmar, Fraunhofer Institute for Integrated Circuits IIS, Germany; Stefan Balke, Meinard Müller, International Audio Laboratories Erlangen, Germany
AASP-P3.3: VITEX: VISUAL TEXTURE CONTROL FOR MULTI-TRACK SYMBOLIC MUSIC GENERATION VIA DISCRETE DIFFUSION MODELS
Xiaoyu Yi, Peking University, China; Qi He, Music X Lab, China; Gus Xia, Ziyu Wang, MBZUAI, United Arab Emirates
AASP-P3.4: Compression meets Sampling: LZ78-SPA for Efficient Symbolic Music Generation
Abhiram Gorle, Connor Ding, Sagnik Bhattacharya, Stanford University, United States of America; Amit Kumar Singh Yadav, Purdue University, United States of America; Tsachy Weissman, Stanford University, United States of America
AASP-P3.5: BREAK-THE-BEAT! CONTROLLABLE MIDI-TO-DRUM AUDIO SYNTHESIS
Shuyang Cui, Zhi Zhong, Qiyu Wu, Zachary Novack, Sony Group Corporation, Japan; Woosung Choi, Sony AI, Japan; Keisuke Toyama, Sony Group Corporation, Japan; Kin Wai Cheuk, Junghyun Koo, Yukara Ikemiya, Sony AI, Japan; Christian Simon, Chihiro Nagashima, Shusuke Takahashi, Sony Group Corporation, Japan
AASP-P3.6: ANYACCOMP: GENERALIZABLE ACCOMPANIMENT GENERATION VIA QUANTIZED MELODIC BOTTLENECK
Junan Zhang, Yunjia Zhang, Xueyao Zhang, The Chinese University of Hong Kong, Shenzhen, Hong Kong; Zhizheng Wu, The Chinese University of Hong Kong, Shenzhen, City University of Macau, Shenzhen Loop Area Institute, Amphion Technology Co., Ltd., Hong Kong
AASP-P3.7: Text2midi-InferAlign: Improving Symbolic Music Generation with Inference-Time Alignment
Abhinaba Roy, Geeta Puri, Dorien Herremans, Singapore University of Technology and Design, Singapore
AASP-P3.8: PIANOROLL-EVENT: A NOVEL SCORE REPRESENTATION FOR SYMBOLIC MUSIC
Lekai Qian, Haoyu Gu, Dehan Li, Boyu Cao, Qi Liu, South China University of Technology, China
AASP-P3.9: Time-Shifted Token Scheduling for Symbolic Music Generation
Ting-Kang Wang, Chih-Pin Tan, Yi-Hsuan Yang, National Taiwan University, Taiwan
AASP-P3.10: U-MusT: A Unified Framework for Cross-modal Translation of Score Images, Symbolic Music, and Performance Audio
Jongmin Jung, Dongmin Kim, Sihun Lee, Seola Cho, Sogang University, Korea, Republic of; Hyungjoon Soh, Seoul National University, Korea, Republic of; Irmak Bukey, Chris Donahue, Carnegie Mellon University, United States of America; Dasaem Jeong, Sogang University, Korea, Republic of
Contacts