COMPARISON AND STATISTICAL ANALYSIS OF NAM AND NORMAL SPEECH PROCESSING USING WAVELET TRANSFORM
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 4
Abstract
In this, we present statistical approaches to enhance body-conducted unvoiced speech for silent speech communication using wavelet transform. So far Analysis of NAM speech has been made only using HMM (Hidden Markov Model) and GMM (Gaussian Markov Model). In this paper, study of analyzing normal speech and NAM speech will be made by using Wavelet transform. Because, wavelets have the great advantage of being able to separate the fine details in a signal. It allows complex information to be decomposed into elementary forms at different positions and subsequently reconstruct it with high precision. Upon analyzing the Normal speech, NAM speech will also be analyzed using the same wavelet transform. The accuracy of words can be obtained from two methods that will be compared to determine the efficiency of using Wavelet transform in recognizing NAM speech. Wavelet analysis is capable of revealing aspects of data that other speech signal analysis technique such the extracted features are then passed to a classifier for the recognition of isolated words.
Authors and Affiliations
Janani P, Devi N
Keywords
Related Articles
- EP ID EP27560
- DOI -
- Views 315
- Downloads 5
Design of On-line Interactive Data Acquisition and Control System for Embedded Applications
In various Internet applications based on the client/server architecture, it is better to use embedded WEB server other than PC server for decreasing volume, cost and power consumption. The paper introduces the desig...
Design of The CAN Bus Booster Pack and The Implementation of The CAN Protocol on the TIVA C Launch pad Evaluation Board
This paperis about the practical design of a CAN Bus Boosterpack and the implementation of the CAN protocol on the TIVA C Launchpad evaluation board. The boosterpack board contains a CAN transceiver that can make com...
An Efficient Parallel Processing Technique For Large Text Files
Now a days the data was increasing rapidly because of heterogeneous resources. The data that is useful for large organisations will required large number of computing resources for processing large data sets. there a...
Detection of DDos Attack using HCIF Algorithm in Cloud Computing
Cloud Computing is an emerging buzzword in the IT industry and offers three types of services as Software as a Service (SaaS), Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). To launch a coordinat...
A New Frame Work and Technique For Earthquake Alert System
As an application, we develop a earthquake reporting structure for use in Japan. In perspective of the different shudders and the tremendous number of Twitter customers all through the country, we can recognize a tre...