Audio Classification and Retrieval by Using Vector Quantization

In today’s world, we can say that information and its processing has become the critical aspect for functioning of everything. In the early days, information was generally obtained and processed in the form of text. Today information is available in all forms namely, text, music, graphics, etc. which are a easily understandable and accurately represent information. Information is first captured then the captured information is retrieved and analyzed for further requirements. In this paper, the information that we take into consideration is in audio form. We have studied the feature vector extraction methods, similarity measurement techniques, and have also measured the performance parameters. It has been observed that the use of multiple feature vectors provides better and more accurate classification and retrieval of audios from large database.