Title
Improving multiple-F0 estimation by onset detection for polyphonic music transcription
Abstract
In a monaural polyphonic context, music transcription and specifically, multiple-F0 estimation systems have achieved promising results in the last decade. However, most of these systems present intermittent misses of pitch within a note or inaccurate definitions about onsets and offsets due to frame-by-frame analysis. In this paper, we propose a multiple-F0 estimation system which extracts a set of active pitches at each frame (analysis frame) but note tracking is performed defining temporal intervals by an accurate onset detector. Our system shows promising results, in terms of onset and multiple-F0 estimation, to be evaluated using real-world and synthesized polyphonic music recordings taken from MAPS music database.
Year
DOI
Venue
2010
10.1109/MMSP.2010.5661985
Multimedia Signal Processing
Keywords
Field
DocType
audio recording,frame by frame analysis,multiple FO estimation,music database,music recording,onset detection,polyphonic music transcription
Pattern recognition,Computer science,Speech recognition,Harmonic analysis,Artificial intelligence,Polyphony,Hidden Markov model,Monaural,Detector,Sound recording and reproduction
Conference
ISBN
Citations 
PageRank 
978-1-4244-8111-8
1
0.40
References 
Authors
8
9