Environmental sound classification using spectral and harmonic feature combination

@article{Okuyucu2013EnvironmentalSC,
  title={Environmental sound classification using spectral and harmonic feature combination},
  author={Cigdem Okuyucu and Mustafa Sert and Adnan Yazici},
  journal={2013 21st Signal Processing and Communications Applications Conference (SIU)},
  year={2013},
  pages={1-4}
}
  • Cigdem Okuyucu, Mustafa Sert, Adnan Yazici
  • Published in
    21st Signal Processing and…
    2013
  • Computer Science
  • Recognition of environmental sounds (ES) is a challenging problem due to the unstructured nature and typically noise-like and flat spectrums of these sounds. In the paper, we propose a composite audio feature to capture the different characteristics of ESs by combining spectral and harmonic audio features. In the experiments, thirteen (13) ES categories, namely emergency alarm, car horn, gun, explosion, automobile, motorcycle, helicopter, water, wind, rain, applause, crowd, and laughter are… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-9 OF 9 REFERENCES

    Environmental Sound Recognition With Time–Frequency Audio Features

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Content-Based Classification and Segmentation of Mixed-Type Audio by Using MPEG-7 Features

    VIEW 2 EXCERPTS

    A flexible framework for key audio effects detection and auditory context inference

    VIEW 1 EXCERPT

    Audio-based context recognition

    VIEW 1 EXCERPT

    Mixed Type Audio Classification with Support Vector Machine

    VIEW 1 EXCERPT

    Audio classification based on MPEG-7 spectral basis representations

    VIEW 1 EXCERPT