Technical Program

Paper Detail

Paper:AASP-L7.1
Session:Music Information Retrieval
Location:Meeting Room 1
Session Time:Thursday, May 16, 13:00 - 15:00
Presentation Time:Thursday, May 16, 13:00 - 13:20
Presentation: Lecture
Topic: Audio and Acoustic Signal Processing: Music Information Retrieval and Music Language Processing
Paper Title: END-TO-END LYRICS ALIGNMENT FOR POLYPHONIC MUSIC USING AN AUDIO-TO-CHARACTER RECOGNITION MODEL
Manuscript Link:  Click here to view manuscript on IEEE Xplore
Authors: Daniel Stoller, Queen Mary University of London, United Kingdom; Simon Durand, Sebastian Ewert, Spotify, United Kingdom