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Automatic Musical Instrument Recognition

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Signal Analysis of Hindustani Classical Music

Part of the book series: Signals and Communication Technology ((SCT))

Abstract

This chapter deals with analysis of musical instruments especially the Indian musical instruments by analyzing its sound. Sections 9.1, 9.2 and 9.3 concerns the automatic recognition of musical instruments with the idea that extract the perceptually relevant features from acoustic musical signals that a computer system “listen” to musical sounds and recognize which instrument is playing. For this, timbre of the sound of those musical instruments needs to be studied extensively. Only five musical instruments which are popularly adopted in Hindustani music were chosen for study.

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Authors and Affiliations

  1. Sir C V Raman Centre for Physics and Music, Jadavpur University, Kolkata, West Bengal, India

    Asoke Kumar Datta, Ranjan Sengupta & Anirban Patranabis

  2. Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Sandeep Singh Solanki

  3. Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Soubhik Chakraborty & Kartik Mahto

Authors
  1. Asoke Kumar Datta
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  2. Sandeep Singh Solanki
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  3. Ranjan Sengupta
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  4. Soubhik Chakraborty
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  5. Kartik Mahto
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  6. Anirban Patranabis
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Corresponding author

Correspondence to Asoke Kumar Datta .

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Datta, A., Solanki, S., Sengupta, R., Chakraborty, S., Mahto, K., Patranabis, A. (2017). Automatic Musical Instrument Recognition. In: Signal Analysis of Hindustani Classical Music. Signals and Communication Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-3959-1_9

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  • DOI: https://doi.org/10.1007/978-981-10-3959-1_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3958-4

  • Online ISBN: 978-981-10-3959-1

  • eBook Packages: EngineeringEngineering (R0)

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