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Reseach Article

Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study

Published on May 2015 by Salma Jabeen, K.m. Ravi Kumar
An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
Foundation of Computer Science USA
ICCTAC2015 - Number 1
May 2015
Authors: Salma Jabeen, K.m. Ravi Kumar
52f2ee5d-75e7-4b05-aee4-ccb03ed8468a

Salma Jabeen, K.m. Ravi Kumar . Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study. An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds. ICCTAC2015, 1 (May 2015), 19-23.

@article{
author = { Salma Jabeen, K.m. Ravi Kumar },
title = { Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study },
journal = { An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds },
issue_date = { May 2015 },
volume = { ICCTAC2015 },
number = { 1 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 19-23 },
numpages = 5,
url = { /proceedings/icctac2015/number1/20920-2007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
%A Salma Jabeen
%A K.m. Ravi Kumar
%T Effect of 0dB and 20dB Vehicle Noise on Stuttered Speech: A Study
%J An Architectural Framework for Workload Demand Prediction in Scalable Federated Clouds
%@ 0975-8887
%V ICCTAC2015
%N 1
%P 19-23
%D 2015
%I International Journal of Computer Applications
Abstract

This paper describes the effect of 0dB and 20dB vehicle noise on stuttered speech. 100 samples are collected from the subjects (stutterer), among which 80 samples are used for training and 20 samples for testing. The samples are trained using Mel Frequency Cepstral Coefficients (MFCC) feature extraction and statistical parameters such as mean, max, min, standard deviation (SD), power spectrum density (PSD), then the testing samples are analyzed by adding vehicle noise of 0dB and 20dB. Using sparse matrix enhancement technique the vehicle noise is degraded. The results obtained after enhancement are 45-95% depending on the samples used for analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Stutter Vehicle Noise Mfcc.