• Syed Akbar Ali
• Prof. Sanjay Ganar

Speech disorders are human disabilities widely present in young population but also adults may suffer from such disorders after some physical problems. In this context, the detection and further the correction of such disabilities may be handled by Automatic Speech Recognition (ASR) technology. The first works on the speech disorders detection began early in the 70s and seem to follow the same evolution as those on the ASR. Indeed, these early works were more based on the signal processing techniques. Progressively, systems dealing with speech disorders incorporate more ideas from ASR technology .Particularly, Artificial Neural Network, the state-of-the-art approaches in ASR systems, are used. systems that use ASR techniques to evaluate pronunciation of people who suffer from speech or voice impairments like balbuties and dysthria. investigate the existing systems and present the main innovation and some of the available resources. Than the output of this is given to feature extraction in which MFCC, LFCC,ZCR, Energy and LPC is present all this features give informative characteristic of patients and also in arithmetic values. Than the output of this is given to classifier which is a neural network, this classifier does all similar diseases patients

Pathological voices,MFCC,LFCC,,Voice Disorder, Artificial Neural Network.

"Voice Disorders Recognition System using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.318-321, May-2019, Available :http://www.jetir.org/papers/JETIRBV06070.pdf

"Voice Disorders Recognition System using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp318-321, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06070.pdf