The week's pick
Random Articles
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.
References
- T. Rammohan Associate Professor, Dept. of Electronics and communication Engineering, K. Sankaranarayanan PhD. Dean, Electrical sciences, EASA college of Engineering and Technology, Shalakha Rajan Dept. of Electrical and Electronics Engineering, " Image Compression using Fusion Technique and Quantization", International Journal of Computer Applications (0975 – 8887) Volume 63– No. 22, February 2013
- Hariharan Subramanian, Prof. Preeti Rao, Dr. Sumantra. D. Roy" Audio Signal Classification" M. Tech. Credit Seminar Report, Electronic Systems Group, EE. Dept, IIT Bombay, Submitted November2004
- Lie Lu, Hong-Jiang Zhang, Senior Member, IEEE, and Hao Jiang. "Content Analysis for Audio Classification and Segmentation ", IEEE Transactions On Speech And Audio Processing, Vol. 10, No. 7, October 2002
- Cheng-ya Sha, "Time Frequency Analysis for Acoustics", ntu. edu. tw
- Finnish Meteorological Institute, www. geo. fmi. fi/~syrjasuo/Analysis/node6. html, October 2004.
- Gokul P, Karthikeyan T , KrishnaKumar R. Malini S. , Final Year ECE students, Department of Electronics and Communication Engineering, Assistant Professor, Department of Electronics and Communication Engineering, " Computational Time Analysis of Signal Processing Algorithm-An Analysis" IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: Gokul P, Karthikeyan T , KrishnaKumar R. Malini S. , Final Year ECE students, Department of Electronics and Communication Engineering
- The FreeDictionary. Com by Farlex, encyclopedia. thedictionary. com, October 2004.
- T. Soni Madhulatha, Associate Professor, Alluri Institute of Management Sciences, Warangal, "An Overview On Clustering Methods", IOSR Journal of Engineering Apr. 2012, Vol. 2(4) pp: 719-72
- Dr. H. B. Kekre Sr. Prof, Department of Computer Science, NMIMS University, Mr. Dhirendra Mishra Associate Prof, Department of Computer Science, NMIMS University, Mr. Anirudh Kariwala Student, Department of Computer Science, NMIMS University," A Survey Of CBIR Techniques And Semantics" , Dr. H. B. Kekre et al. / International Journal of Engineering Science and Technology (IJEST)
Index Terms
Keywords