The week's pick
Reseach Article
Application of Vector Quantization for Audio Retrieval
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 88 - Number 17 |
| Year of Publication: 2014 |
| Authors: Shruti Vaidya, Kamal Shah |
10.5120/15446-4021
|
Shruti Vaidya, Kamal Shah . Application of Vector Quantization for Audio Retrieval. International Journal of Computer Applications. 88, 17 ( February 2014), 24-26. DOI=10.5120/15446-4021
Abstract
Due to the progress of the unlimited data storage capabilities and the proliferation use of the Internet, information retrieval systems encountered a large interest. Much of this data is in different forms from various sources. So, it becomes important to develop the necessary technologies for indexing and browsing such audio data. The consideration will be from audio information retrieval domain. In this paper; the study of audio content analysis for classification is presented, in which an audio signal is classified according to audio type. An approach that is capable of classifying an audio signal into speech, music, environment sound is used. Audio classification is processed in two steps as follows:- The first step of the classification is speech and nonspeech discrimination. The second step further divides nonspeech class into music, background sounds. Algorithms based on K-nearest-neighbor (KNN) and Fast Fourier Transform (FFT) are used. Experimental results indicate that satisfactory results are produced.
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