ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Automatic transcription of melody, bass line, and chords in polyphonic music
Computer Music Journal
High resolution audio synchronization using chroma onset features
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Musical audio source separation based on user-selected f0 track
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
Transcription and Separation of Drum Signals From Polyphonic Music
IEEE Transactions on Audio, Speech, and Language Processing
A Conditional Random Field Framework for Robust and Scalable Audio-to-Score Matching
IEEE Transactions on Audio, Speech, and Language Processing
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The separation of different sound sources from polyphonic music recordings constitutes a complex task since one has to account for different musical and acoustical aspects. In the last years, various score-informed procedures have been suggested where musical cues such as pitch, timing, and track information are used to support the source separation process. In this paper, we discuss a framework for decomposing a given music recording into notewise audio events which serve as elementary building blocks. In particular, we introduce an interface that employs the additional score information to provide a natural way for a user to interact with these audio events. By simply selecting arbitrary note groups within the score a user can access, modify, or analyze corresponding events in a given audio recording. In this way, our framework not only opens up new ways for audio editing applications, but also serves as a valuable tool for evaluating and better understanding the results of source separation algorithms.