Predominant melody extraction from vocal polyphonic music signal by combined spectro-temporal methodDownload PDFOpen Website

2016 (modified: 07 Nov 2022)ICASSP 2016Readers: Everyone
Abstract: A combined spectro-temporal based method is proposed to derive the predominant melody from vocal polyphonic music signals. In the proposed method, vocal (voiced) and non-vocal (unvoiced) segments are determined by strength of excitation. The vocal segments are further divided into voiced notes by detecting their onsets using transition cues present in spectral domain. The melody contour present in each of the voiced note segments is obtained by using an adaptive zero frequency filtering (ZFF) in time domain. The process of melody extraction is provided in more detail and the initial results showed the potential use of the proposed method for vocal melody extraction.
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