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Deep Spectrogram Learning for Gunshot Classification: A Comparative Study of CNN Architectures and Time-Frequency Representations.

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第一作者： Pafan,Doungpaisan

第一单位： Faculty of Industrial Technology and Management, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.

作者： Pafan,Doungpaisan ^[1] ; Peerapol,Khunarsa ^[2]

作者单位： Faculty of Industrial Technology and Management, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand. ^[1] Faculty of Science and Technology, Uttaradit Rajabhat University, Uttaradit 53000, Thailand. ^[2]

关键词 RGB spectrogram audio classification computer vision convolutional neural networks (CNNs)deep learning gunshot detection image processing time-frequency analysis

DOI 10.3390/jimaging11080281

PMID 40863491

发布时间 2025-09-14

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Journal of imaging

2025年11卷8期

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Journal of imaging

2025年11卷8期

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Deep Spectrogram Learning for Gunshot Classification: A Comparative Study of CNN Architectures and Time-Frequency Representations.

Journal of imaging

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Deep Spectrogram Learning for Gunshot Classification: A Comparative Study of CNN Architectures and Time-Frequency Representations.

Journal of imaging

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Journal of imaging

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