Paper Info
Title
Knowledge Based Fundamental and Harmonic Frequency Detection in Polyphonic Music Analysis
Abstract
In this paper, we present an efficient approach to detect and tracking the fundamental frequency (F0) from `wav' audio. In general, music F0 and harmonic frequency show the multiple relations; therefore frequency domain analysis can be used to track the F0. The model includes the harmonic frequency probability analysis method and useful pre-post processing for multiple instruments. Thus, the proposed system can efficiently transcribe polyphonic music, while taking into account the probability of F0 and harmonic frequency. The experimental results demonstrate that the proposed system can successful transcribe polyphonic music, achieved the quite advanced level.
Year
DOI
Venue
2017
10.1007/978-981-10-6571-2_72
Lecture Notes in Electrical Engineering
Keywords
DocType
Volume
Automatic music transcription,Multiple pitch estimation,Polyphonic music segmentation,Fundamental frequency detection
Conference
463
ISSN
Citations 
PageRank 
1876-1100
0
0.34
References 
Authors
10
7
Name
Order
Citations
PageRank
Xiaoquan Li100.34
Yijun Yan2363.55
Jinchang Ren3114488.54
Huimin Zhao420623.43
Sophia Zhao521.41
John J. Soraghan616634.16
Tariq S. Durrani711733.56