alexa A Novel Speech Separation Based On Ica Strategical C l
ISSN ONLINE(2278-8875) PRINT (2320-3765)

International Journal of Advanced Research in Electrical, Electronics and Instrumentation 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

A Novel Speech Separation Based On Ica Strategical C lassification

Y.D.Chandramouli1, Dr.P.Sailaja2
  1. Student, Dept of Electronics and Communication Engineering, Godavari Institute of Engineering and Technology, A.P, India
  2. Professor, Dept of Electronics and Communication Engineering, Godavari Institute of Engineering and Technology A.P, India
Related article at Pubmed, Scholar Google


Monaural conversation splitting is a well-recognized process. Modern research utilize monitored classification methods to estimate the ideal binary cover up (IBM) inorder to address the issue. In a supervised learning structure, the issue of generalization to conditions different from those in coaching is most essential. This paper presents techniques that require only a little coaching corpus and can generalize to invisible circumstances. The program uses assistance vector machines to understand category hints and then runs on the rethresholding technique inorder to calculate the IBM. A submission fitting method is used to make generalizations to invisible signal-to-noise rate circumstances and voice action recognition centered variation isused to make generalizations to unseen noise circumstances. Methodical evaluation reveals that the recommended strategy generates top quality IBM estimates under invisible circumstances. Hence in this proposed method, a single channel speech enhancement algorithm is intend to offer by constructing a observational signal and noise signal for single channel speech noise reduction based on Independent component analysis (ICA),thereby noise and original speech can be separated through ICA. Hence Simulation results provides that much better peak signal to noise ratio(PSNR) and denoising effect can be procured by using this algorithm.

Share This Page

Additional Info

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