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Recent Advances on Soft Computing and Data Mining pp 507–516Cite as

Improvement of Audio Feature Extraction Techniques in Traditional Indian Musical Instrument

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 287))

Abstract

Traditional Indian musical instrument is one of the oldest musical instruments in the world. The musical instruments have their own importance in the field of music. Traditional Indian musical instrument could be categorized into three types such as stringed instruments, percussion instruments and wind-blown instruments. However, this paper will focus on string instruments because its show fluctuating behavior due to noise. Therefore, three techniques are selected based on the frequently used by previous researches which show some shortcoming while extracting noisy signal. The three techniques are Mel-Frequency Cepstral Coefficient (MFCC), Linear Predictive Coding (LPC) and Zero-Crossing Rate (ZCR). Hence, this research attempts to improve the feature extracting techniques by integrating Zero Forcing Equalizer (ZFE) with those extraction techniques. Three classifiers that are k-Nearest Neighbor (kNN), Bayesian Network (BNs) and Support Vector Machine (SVM) are used to evaluate the performance of audio classification accuracy. The proposed technique shows better classification accuracy when dealing with noisy signal.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia

    Kohshelan & Noorhaniza Wahid

Authors
  1. Kohshelan
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  2. Noorhaniza Wahid
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Corresponding author

Correspondence to Kohshelan .

Editor information

Editors and Affiliations

  1. Department of Information System Faculty of Comp. Sci. & Info. Tech., University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Faculty of Comp. Sci. and Info. Tech, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Rozaida Ghazali

  3. Faculty of Comp. Sci. and Info. Tech., Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Mustafa Mat Deris

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© 2014 Springer International Publishing Switzerland

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Kohshelan, Wahid, N. (2014). Improvement of Audio Feature Extraction Techniques in Traditional Indian Musical Instrument. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_48

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  • DOI: https://doi.org/10.1007/978-3-319-07692-8_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07691-1

  • Online ISBN: 978-3-319-07692-8

  • eBook Packages: EngineeringEngineering (R0)

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