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Advances in Computer Communication and Computational Sciences pp 263–281Cite as

Content-Based Audio Classification and Retrieval Using Segmentation, Feature Extraction and Neural Network Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 924))

Abstract

The volume of audio data is increasing tremendously daily on public networks like Internet. This increases the difficulty in accessing those audio data. Hence, there is a need of efficient indexing and annotation mechanisms. Non-stationarity and discontinuity present in the audio signal rise the difficulty in segmentation and classification of audio signals. The other challenging task is to extract and select the optimal features in audio signal. The application areas of audio classification and retrieval system include speaker recognition, gender classification, music genre classification, environment sound classification, etc. This paper proposes a machine learning- and neural network-based approach which performs audio pre-processing, segmentation, feature extraction, classification and retrieval of audio signal from the dataset. We have proposed novel approach of classification and retrieval using FPNN by combining fuzzy logic and PNN characteristics. We found that FPNN classifier gives better accuracy, F1-score and Kappa coefficient values compared to SVM, k-NN and PNN classifiers.

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Author information

Authors and Affiliations

  1. Computer Engineering, Pacific Academy of Higher Education and Research University, Udaipur, India

    Nilesh M. Patil

  2. Fr. CRCE, Mumbai, India

    Nilesh M. Patil

  3. Electronics Engineering Department, K. J. Somaiya Institute of Engineering and Information Technology, Sion, Mumbai, India

    Milind U. Nemade

Authors
  1. Nilesh M. Patil
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  2. Milind U. Nemade
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Corresponding author

Correspondence to Nilesh M. Patil .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri–St. Louis, St. Louis, MO, USA

    Sanjiv K. Bhatia

  2. CSED, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Information Technology, Rajkiya Engineering College, Azamgarh, Uttar Pradesh, India

    Munesh C. Trivedi

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Patil, N.M., Nemade, M.U. (2019). Content-Based Audio Classification and Retrieval Using Segmentation, Feature Extraction and Neural Network Approach. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-6861-5_23

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