alexa Abstract | Automatic Speech Recognition using ELM and KNN Classifiers
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Automatic speech recognition system consist of two stages: One is Pre-processing stage and another one is classification stage. In pre processing stage continuous speech signal is recorded and segmented. The classification stage is used to classify the extracted features. The segmentation algorithm is hybrid of short time energy and spectral centroid. It has high segmentation accuracy. The Hit Rate rate is 95.33% and False Alarm rate is 4.67%. In this paper MFCC is used for feature extraction and ELM, KNN classifiers are used for speech classification. Compare to KNN classifier ELM classifier has high classification accuracy.

To read the full article Peer-reviewed Article PDF image

Author(s): M.Kalamani, Dr.S.Valarmathy, S.Anitha

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords