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Audio Classification

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Audio Processing and Speech Recognition

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

Abstract

Classification falls under supervised learning. Supervised learning is a learning process from a given dataset or training dataset where both input and mapping output data are provided. The decision rules are designed by observing the training dataset to determine the category or class for future decision-making. Classification is the process of assigning an individual item or dataset to one of the number of existing categories or classes depending on the characteristics or features of the input data.

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Authors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Soumya Sen

  2. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Anjan Dutta

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

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  1. Soumya Sen
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  2. Anjan Dutta
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  3. Nilanjan Dey
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Sen, S., Dutta, A., Dey, N. (2019). Audio Classification. In: Audio Processing and Speech Recognition. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-13-6098-5_4

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  • DOI: https://doi.org/10.1007/978-981-13-6098-5_4

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