AASP-L2.6
ADAPTING PITCH-BASED SELF SUPERVISED LEARNING MODELS FOR TEMPO ESTIMATION
Antonin Gagneré, Slim Essid, Geoffroy Peeters, LTCI, Télécom-Paris, IP-Paris, France
Session:
AASP-L2: Music Information Retrieval Lecture
Track:
Audio and Acoustic Signal Processing
Location:
Room 105
Presentation Time:
Tue, 16 Apr, 18:10 - 18:30 (UTC +9)
Session Co-Chairs:
Geoffroy Peeters, LTCI, Télécom-Paris, Institut Polytechnique de Paris and Juan Pablo Bello, New York University
Session AASP-L2
AASP-L2.1: SOFT DYNAMIC TIME WARPING WITH VARIABLE STEP WEIGHTS
Johannes Zeitler, Michael Krause, Meinard Müller, International Audio Laboratories Erlangen, Germany
AASP-L2.2: A REAL-TIME LYRICS ALIGNMENT SYSTEM USING CHROMA AND PHONETIC FEATURES FOR CLASSICAL VOCAL PERFORMANCE
Jiyun Park, Sangeon Yong, Taegyun Kwon, Juhan Nam, Korea Advanced Institute of Science & Technology, Korea, Republic of
AASP-L2.3: HIGH RESOLUTION GUITAR TRANSCRIPTION VIA DOMAIN ADAPTATION
Xavier Riley, Drew Edwards, Simon Dixon, Queen Mary University of London, United Kingdom of Great Britain and Northern Ireland
AASP-L2.4: BEAST: ONLINE JOINT BEAT AND DOWNBEAT TRACKING BASED ON STREAMING TRANSFORMER
Chih-Cheng Chang, Li Su, Academia Sinica, Taiwan
AASP-L2.5: STRUCTURE-INFORMED POSITIONAL ENCODING FOR MUSIC GENERATION
Manvi Agarwal, Changhong Wang, Gaël Richard, Télécom Paris, Institut Polytechnique de Paris, France
AASP-L2.6: ADAPTING PITCH-BASED SELF SUPERVISED LEARNING MODELS FOR TEMPO ESTIMATION
Antonin Gagneré, Slim Essid, Geoffroy Peeters, LTCI, Télécom-Paris, IP-Paris, France
Contacts