Comparative Analysis of  Speech Recognition Based on Artificial Neural Network

Comparative Analysis of Speech Recognition Based on Artificial Neural Network
Author(s):
Abhinav Bhatnagar, Sapna Sinha
Keywords:
speech recognition, HMM, genetic algorithms, MFCC, FBCC, P.S.O, Back propagation algorithm Neural networks, speech recognition.
Abstract
People feels very comfortable with the speech so they want to interact with computers via their voice rather than hardware interfaces devices like keyboards and pointing devices. Speech is the easy and common medium to communicate with real system but unwanted voice signal comes during communication. In this paper presents comparative analyses of the different methods used for better recognition. There are three types of categories of speech enhancement algorithms filtering based noise reduction, beam forming and active noise cancellation (A.N.C) techniques. Artificial Neural Network(A.N.N) is speech recognition platform which has better speed of recognition and Recent work shows improved performance results when G.A is applied on speech signals recorded when noise comes and interrupted. The work here applies developmental reckoning in type of hereditary calculation to choose the highlights that are in charge of segregating the distinctive words. This will improve recognition and reduces the unwanted noise
Article Details
Unique Paper ID: 142325 Publication Volume & Issue: Volume 2, Issue 1 Page(s): 35 - 39
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org