Accomplishments

Audio Classification using Segmentation, MFCC and PNN Classifier
Category
Conference
Authors
Nilesh Patil & Milind Nemade
Conference Name
1st International Conference Advances in Science & Technology (ICAST-2018)
Conference From
06-Apr-2018
Conference To
07-Apr-2018
Conference Venue
K. J. Somaiya Institute of Engineering and Information Technology, Sion, Mumbai
- Abstract
The popularity of audio classification is immensely increasing both in academics and industries. Audio classification is also gaining large popularity in pattern recognition and artificial intelligence. Audio features like STE, ZCR and MFCC are extracted. Classification is done using PNN classifier. We measure the performance using parameters like precision, nor-malized mutual information (NMI), F-Score, entropy, sensitivity, specificity, and accuracy
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