Efficient Feature Set Developed for Acoustic Gunshot Detection in Open Space

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چکیده

This paper presents an efficient approach to automatic gunshot detection based on a combination of two feature sets: adapted standard sound features and hand-crafted novel features. The are mel-frequency cepstral coefficients for recognition in terms uniform gamma-tone filters linearly spaced over the whole frequency range from 0 kHz 16 kHz. first 18 calculated 41 represent best set optimized coefficients. were derived time domain individual significant points raw waveform after amplitude normalization. Experiments performed using single ensemble neural networks verify effectiveness supplementing novelty work is proposed combination, which allows achieve very effective gunshots hunting weapons 23 simple network. In binary classification, developed achieved accuracy 95.02 % 98.16 disregarding other sounds (i.e., non-gunshot).

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ژورنال

عنوان ژورنال: Elektronika Ir Elektrotechnika

سال: 2021

ISSN: ['1392-1215', '2029-5731']

DOI: https://doi.org/10.5755/j02.eie.28877