Audio Denoising, Recognition and Retrieval by Using Feature Vectors
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
In this paper, we present the study of audio signal denoising, recognizing its audio type and retrieving similar signals from the database. Primarily the signal is denoised to remove any noise present in the,unknown signal. Time Frequency Block Thresholding is used to achieve this. Removing the noise from audio signals requires processing of time-frequency coefficients in order to keep away from producing the musical noise. A block thresholding estimation procedure is introduced, which relates the parameters adaptively to signal property. Content Based Audio Retrieval system is very useful to identify the unknown audio signals. Audio signals are classified into music, speech and background sounds. This is done by the use of various feature vectors such as zero crossing rate, spectral centroid, spectral flux, spectral roll off. Use of multiple feature vectors improves the accuracy of the results being retrieved from the audio database. Various experiments demonstrate the performance and accurateness, providing good results for non standard signals
Authors and Affiliations
Shruti Vaidya, Dr. Kamal Shah
Keywords
Related Articles
- EP ID EP94297
- DOI 10.9790/0661-1622107112
- Views 129
- Downloads 0
DevOps shifting software engineering strategyValue based perspective
Abstract: Distributed software engineering is one of the hot research areas that has the most interest within thesoftware industry for many IT organizations especially the global and multinational ones. Up to 90% of thes...
Gain Comparison between NIFTY and Selected Stocks identified by SOM using Technical Indicators
The main aim of every investor is to identify a stock that has potential to go up so that the investor can maximize possible returns on investment. After identification of stock the second important point of deci...
A Novel Interface to a Web Crawler using VB.NET Technology
The number of web pages is increasing into millions and trillions around the world. To make searching much easier for users, web search engines came into existence. Web Search engines are used to find speci...
Classifying Product Quality Depending on Online Aspect Reviews
Abstract:According to any individual living in today’s world what is the most important thing that one does before buying any product? Blindly we say that it’s checking out the number of online reviews about the product...
Optical Character Recognition using Dynamic Memory Image Algorithm
Abstract : Embedded products have different types of display screens like LCD, Touch screen, CRT etc. For automating the development testing of such devices, we need to recognize the text displayed on it using a ca...