AASP-P31.5
EVALUATING HIGH-RESOLUTION PIANO SUSTAIN PEDAL DEPTH ESTIMATION WITH MUSICALLY INFORMED METRICS
Hanwen Zhang, Kun Fang, McGill University, Canada; Ziyu Wang, New York University, United States of America; Ichiro Fujinaga, McGill University, Canada
Session:
AASP-P31: Music Analysis III Poster
Track:
Audio and Acoustic Signal Processing [AA]
Location:
Poster Area 26
Presentation Time:
Fri, 8 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session AASP-P31
AASP-P31.1: ABC-EVAL: BENCHMARKING LARGE LANGUAGE MODELS ON SYMBOLIC MUSIC UNDERSTANDING AND INSTRUCTION FOLLOWING
Jiahao Zhao, Kyoto University, Japan; Yunjia Li, Wei Li, Fudan University, China; Kazuyoshi Yoshii, Kyoto University, Japan
AASP-P31.2: ENHANCING AUTOMATIC DRUM TRANSCRIPTION WITH ONLINE DYNAMIC FEW-SHOT LEARNING
Philipp Weyers, Fraunhofer Institute for Integrated Circuits, Germany; Christian Uhle, Meinard Müller, Fraunhofer Institute for Integrated Circuits, International Audio Laboratories Erlangen, Germany; Matthias Lang, Fraunhofer Institute for Integrated Circuits, Germany
AASP-P31.3: INTERPRETABLE MUSIC HARMONIC ANALYSIS THROUGH MULTILINEAR MIXTURE OF EXPERTS
Thanasis Triantafyllou, University of Athens, Greece; Mihalis A. Nicolaou, University of Cyprus, Cyprus; Yannis Panagakis, University of Athens, Greece
AASP-P31.4: ROBUST AND LIGHTWEIGHT F0 ESTIMATION THROUGH MID-LEVEL FUSION OF DSP-INFORMED FEATURES
Sebastian Strahl, Meinard Müller, International Audio Laboratories Erlangen, Germany
AASP-P31.5: EVALUATING HIGH-RESOLUTION PIANO SUSTAIN PEDAL DEPTH ESTIMATION WITH MUSICALLY INFORMED METRICS
Hanwen Zhang, Kun Fang, McGill University, Canada; Ziyu Wang, New York University, United States of America; Ichiro Fujinaga, McGill University, Canada
AASP-P31.6: The MUSE Benchmark: Probing Music Perception and Auditory Relational Reasoning in Audio LLMs
Brandon Carone, New York University, United States of America; Iran Roman, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland; Pablo Ripollés, New York University, United States of America
AASP-P31.7: ALMA-CHOR: LEVERAGING AUDIO-LYRIC ALIGNMENT WITH MAMBA FOR CHORUS DETECTION
Ruixi Bao, Tsinghua University, China; Hao Ma, Shansong Liu, Cheng Gong, Chi Zhang, Xiao-Lei Zhang, Institute of Artificial Intelligence (TeleAI), China Telecom, China; Wei-Qiang Zhang, Tsinghua University, China; Xuelong Li, Institute of Artificial Intelligence (TeleAI), China Telecom, China
AASP-P31.8: ADVERSARIAL RIVALRY LEARNING FOR MUSIC CLASSIFICATION
Yi-Xing Lin, Wen-Li Wei, Jen-Chun Lin, Academia Sinica, Taiwan
AASP-P31.9: EXPLAINABLE DEEP LEARNING ANALYSIS FOR RAGA IDENTIFICATION IN INDIAN ART MUSIC
Parampreet Singh, Vipul Arora, Indian Institute of Technology, Kanpur, India
AASP-P31.10: RECOGNIZING ORNAMENTS IN VOCAL INDIAN ART MUSIC WITH ACTIVE ANNOTATION
SUMIT KUMAR, Parampreet Singh, Vipul Arora, Indian Institute of Technology, Kanpur, India, India
Contacts