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Predominant Melody Extraction from Vocal Polyphonic Music Signal by Time-Domain Adaptive Filtering-Based Method

Authors
  • Gurunath Reddy, M.1
  • Sreenivasa Rao, K.1
  • 1 Indian Institute of Technology Kharagpur, Kharagpur, India , Kharagpur (India)
Type
Published Article
Journal
Circuits, Systems, and Signal Processing
Publisher
Springer US
Publication Date
Nov 07, 2017
Volume
37
Issue
7
Pages
2911–2933
Identifiers
DOI: 10.1007/s00034-017-0696-1
Source
Springer Nature
Keywords
License
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Abstract

In this paper, a time-domain adaptive filtering-based melody extraction method is proposed. The proposed method works in multiple stages to extract the vocal melody (singer’s fundamental frequency) from vocal polyphonic music signals. The vocal and non-vocal regions of the music signal are identified by the strength of excitation of the source signal. The vocal regions are further segmented into the sequence of notes by detecting their onsets in the frequency representation of the composite signal. The melody contour in each of the vocal note segment is obtained by adaptive zero-frequency filtering in the time domain. The performance of the proposed melody extraction method is compared with the current state-of-the-art melody extraction method in respect of voicing recall rate, voicing false alarm rate, raw pitch, and overall accuracy.

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