NDLI: A harmonic enhancement based multipitch estimation algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jinming Wan Yadong Wu Hongwei Dai
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China (Jinming Wan; Yadong Wu; Hongwei Dai)
Abstract	This paper describes a novel computationally efficient method for estimating multiple pitches (multi-F0) in complex audio signals. It is based on an iterative approach, where the fundamental frequency of the predominant pitch is estimated, the detected sound's harmonic structure is then weakened, and the process is repeated for the residual signal. In the estimation stage, an algorithm based on harmonic enhancement is proposed. With those techniques, the method can not only estimate predominant pitch for human sounds and instrumental sounds the same well regardless of their different harmonic structures, but also can robustly estimate multiple pitches. The performance is compared with three recent methods.
Starting Page	772
Ending Page	776
File Size	1382536
Page Count	5
File Format	PDF
ISBN	0780395387
DOI	10.1109/ISCIT.2005.1566967
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruments Signal processing algorithms Music Brain modeling Frequency estimation Iterative algorithms Multiple signal classification Autocorrelation Human voice Pattern matching
Content Type	Text
Resource Type	Article

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