BibTeX:

@article{IJIRSTV2I12194,
     title={A Survey on Audio Segmentation and Classification Methods},
     author={Manasi Choche and Dr. Satishkumar Varma},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={12},
     pages={440--443},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I12194.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

An audio is a sound within audible range available to human. This range is study of all mechanical waves in gases, liquids and solids including vibration, and sound. Audio segmentation is most important preprocessing step in several audio processing applications with a significant impact e.g. on speech recognition system. This paper introduces a framework which analyzes the advantages of different segmentation and classification methods. The different audio segmentation methods like Bayesian Information Criterion (BIC), two phase audio segmentation method, metric-based method are studied. Audio segmentation plays important role in audio classification. After segmenting audio it is classified into different classes. The classification model consists of rule-based and model based.

Audio Segmentation, Audio Classification, BIC, HMM, Metric-Based, SVM