Paper Info
Title
Multi-Pitch Estimation Based on Partial Event and Support Transfer
Abstract
This paper proposes a method for the multi-pitch estimation of polyphonic music signals. Instead of on the frame level, the estimation is based on the partial event, which is defined like the note event in MIDI. All partial events in a piece of music are extracted dynamically in the process of the frame by frame short time Fourier transform (STFT). For each event, net support degree received from other events is calculated and the events with the highest support degrees are selected to be the fundamental frequency (FO) events. From another point of view, the support is transferred from higher frequency partial events to lower ones and finally concentrated on the FO events. This method can estimate the number of concurrent sounds, the onset and offset times of the notes. Experiments on both randomly mixed chord signals and synthesized ensemble music signals in "wav" format are conducted and the results are promising.
Year
DOI
Venue
2007
10.1109/ICME.2007.4284625
ICME
Keywords
Field
DocType
fourier transforms,music,multipitch estimation,short time fourier transform,acoustic signal processing,partial event,polyphonic music signal processing,multiple signal classification,intelligent systems,automation,fundamental frequency,signal processing
Spectral density estimation,Multidimensional signal processing,Fundamental frequency,Pattern recognition,Computer science,Short-time Fourier transform,MIDI,Fourier transform,Speech recognition,Artificial intelligence,Chord (music),Offset (computer science)
Conference
ISBN
Citations 
PageRank 
1-4244-1017-7
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Zhiyao Duan130526.86
Dan Zhang246122.17
Changshui Zhang35506323.40
Zhenwei Shi455963.11