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arxiv: 1902.00539 · v1 · pith:7QRH52NCnew · submitted 2019-02-01 · 📡 eess.AS · cs.SD· eess.SP

Multi-layered Cepstrum for Instantaneous Frequency Estimation

classification 📡 eess.AS cs.SDeess.SP
keywords cepstrummethodmulti-layeredunderactivationchallengingconditionscontamination
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We propose the multi-layered cepstrum (MLC) method to estimate multiple fundamental frequencies (MF0) of a signal under challenging contamination such as high-pass filter noise. Taking the operation of cepstrum (i.e., Fourier transform, filtering, and nonlinear activation) recursively, MLC is shown as an efficient method to enhance MF0 saliency in a step-by-step manner. Evaluation on a real-world polyphonic music dataset under both normal and low-fidelity conditions demonstrates the potential of MLC.

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