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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 114
Article Submitted : 18499
Article Published : 7841
Total Authors : 20714
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| Paper Title: | Classification of Urban Sound using Custom 1D and 2D CNN Architectures |
| Authors Name: | Shivam Sengar , Sunita Dhavale |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204539
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| Published Paper Id: | IJRTI2506041 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i6.204539 |
| Abstract: | In this work, we will study and analyze the performance of Convolutional Neural Networks (CNN) based techniques for sound classification which may help in case of urban surveillance applications. Recently, many researchers have used different feature extraction techniques along with different machine learning (ML) techniques to classify urban sound. Deep learning (DL) models like VGG-16, AlexNet, GoogleLeNet have also been explored in this direction effectively. In this research work, we proposed various custom designed 1D and 2D CNN models along with different extracted features like; Mel Frequency Cepstral Coefficients (MFCC), Chroma short-time Fourier transform (Chroma stft), Mel-spectrogram, and Spectral Contrast for urban sound classification. Detailed ablation studies were carried out with respect to different filter sizes, number of convolutional layers, and various activation functions to obtain state-of-the-art performances on the standard urban sound dataset. The experimental results show better performances with our custom CNN models compared to the classification models proposed in the existing recent literature works. |
| Keywords: | Convolutional Neural Networks, Sound Classification, UrbanSound8K, Feature extraction, Deep Learning |
| Cite Article: | "Classification of Urban Sound using Custom 1D and 2D CNN Architectures", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a398-a405, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506041.pdf |
| Downloads: | 000399 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2506041
Registration ID:204539
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i6.204539
Page No: a398-a405 Country: Aligarh, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506041 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506041 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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