Spectral Visibility Graphs: Application to Similarity of Harmonic Signals

Spectral Visibility Graphs: Application to Similarity of Harmonic Signals. Yela, D. F., Stowell, D., & Sandler, M. In 2019 27th European Signal Processing Conference (EUSIPCO), pages 1-5, Sep., 2019.

Paper doi abstract bibtex

Graph theory is emerging as a new source of tools for time series analysis. One promising method is to transform a signal into its visibility graph, a representation which captures many interesting aspects of the signal. Here we introduce the visibility graph for audio spectra and propose a novel representation for audio analysis: the spectral visibility graph degree. Such representation inherently captures the harmonic content of the signal whilst being resilient to broadband noise. We present experiments demonstrating its utility to measure robust similarity between harmonic signals in real and synthesised audio data. The source code is available online.

@InProceedings{8903055,
  author = {D. F. Yela and D. Stowell and M. Sandler},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {Spectral Visibility Graphs: Application to Similarity of Harmonic Signals},
  year = {2019},
  pages = {1-5},
  abstract = {Graph theory is emerging as a new source of tools for time series analysis. One promising method is to transform a signal into its visibility graph, a representation which captures many interesting aspects of the signal. Here we introduce the visibility graph for audio spectra and propose a novel representation for audio analysis: the spectral visibility graph degree. Such representation inherently captures the harmonic content of the signal whilst being resilient to broadband noise. We present experiments demonstrating its utility to measure robust similarity between harmonic signals in real and synthesised audio data. The source code is available online.},
  keywords = {acoustic signal processing;audio signal processing;graph theory;musical acoustics;musical instruments;time series;spectral visibility graphs;harmonic signals;graph theory;time series analysis;audio spectra;audio analysis;Harmonic analysis;Time series analysis;Broadband communication;Spectrogram;Task analysis;Tools;Measurement},
  doi = {10.23919/EUSIPCO.2019.8903055},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533774.pdf},
}

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