Efficient Audio Fingerprint Application Verification Using the Adapted Computational Geometry Algorithm

  •  Marios Poulos    
  •  Ioannis Deliyannis    
  •  Andreas Floros    


An earlier work of the authors introduced an adapted version of the Computational Geometry Algorithm (CGA) designed to analyse an audio stream and produce a unique coding-independent fingerprint. As the adaptability and the induced calculation load of the proposed algorithm form a key characteristic for multiple applications, our current investigation aims to measure its performance and stability in dynamic, real-time applications, i.e., in large audio library indexing and dynamic audio recognition. In addition, we investigate the fact that context similarity is also evident across fingerprints; hence a number of comparisons are used to explore the possible uses of this highly desirable algorithmic feature.

This work is licensed under a Creative Commons Attribution 4.0 License.
  • Issn(Print): 1913-8989
  • Issn(Onlne): 1913-8997
  • Started: 2008
  • Frequency: quarterly

Journal Metrics

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Google-based Impact Factor (2018): 18.20

h-index (January 2018): 23

i10-index (January 2018): 90

h5-index (January 2018): 11

h5-median(January 2018):17