NDLI: A Tandem Algorithm for Singing Pitch Extraction and Voice Separation From Music Accompaniment

Content Provider	IEEE Xplore Digital Library
Author	Chao-Ling Hsu DeLiang Wang Jang, J.-S.R. Ke Hu
Copyright Year	2006
Abstract	Singing pitch estimation and singing voice separation are challenging due to the presence of music accompaniments that are often nonstationary and harmonic. Inspired by computational auditory scene analysis (CASA), this paper investigates a tandem algorithm that estimates the singing pitch and separates the singing voice jointly and iteratively. Rough pitches are first estimated and then used to separate the target singer by considering harmonicity and temporal continuity. The separated singing voice and estimated pitches are used to improve each other iteratively. To enhance the performance of the tandem algorithm for dealing with musical recordings, we propose a trend estimation algorithm to detect the pitch ranges of a singing voice in each time frame. The detected trend substantially reduces the difficulty of singing pitch detection by removing a large number of wrong pitch candidates either produced by musical instruments or the overtones of the singing voice. Systematic evaluation shows that the tandem algorithm outperforms previous systems for pitch extraction and singing voice separation.
Sponsorship	IEEE Signal Processing Society
Starting Page	1482
Ending Page	1491
Page Count	10
File Size	895167
File Format	PDF
ISSN	15587916
Volume Number	20
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Harmonic analysis Time frequency analysis Hidden Markov models Speech Instruments Spectrogram tandem algorithm Computational auditory scene analysis (CASA) iterative procedure pitch extraction singing voice separation
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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