iosr-JVSP   Volume-8 ~ Issue-5 ~ Sep-Oct 2018

ABSTRACT: Verbal communication is a vital element in quality of life, however upwards of 1.4 percent of human beings cannot utilize natural speech reliably to communicate their views and feelings with others which leads to speech drawbacks. Speech disabilities or speech impairments are the parts of communication disorders in which the normal speech get disrupted like stuttering, lips, etc. The word disability can avert those people who are suffering from severe speech disabilities from communicating in a way of doing thing that allows them to use for one ends their potential in education & recreation. In this study a new form of speech recognition system is developed which recognizes the disordered speech of the people who are suffering from severe speech disabilities. In this work, the MFCC is used for feature extraction to extract the features of voice samples & KNN classifier is used for classification........

Keywords: Speech recognition, MFCC, KNN classifier, Raspberry pi 3.

[1]. P. Enderby and L. Emerson, Does Speech and Language Therapy Work?. London, U.K.: Singular, 1995.
[2]. C. L. Kleinke, "Gaze and eye contact: A research review,"Psychol. Bull., vol. 100, no. 1, pp. 78–100.
[3]. B. O'Keefe, N. Kozak, and R. Schuller, "Research priorities in augmentative and alternative communication as identified by people who use AAC and their facilitators," AugmentativeAlternative Commun., vol. 23, no. 1, pp. 89–96, 2007.
[4]. L. J. Ferrier, H. C. Shane, H. F. Ballard, T. Carpenter, and A.Benoit, "Dysarthric speakers' intelligibility and speech characteristics in relation to computer speech recognition,"Augmentative Alternative Commun., vol. 11, no. 3, pp. 165– 175, 1995.
[5]. N. Thomas-Stonell,A.L.Kotler, H.A. Leeper, and P. C.Doyle, "Computerized speech recognition: Influence of intelligibility and perceptual consistency on recognition accuracy," Augmentative Alternative Commun., vol. 14, no. 1, pp. 51–56, 1998..

ABSTRACT: Parkinson's disorder is confusion of sensory system which is caused in view of the brokenness and separate of nerve cells in the mind called as neurons. The examination investigate the adjustment of programmed discourse acknowledgment Fundamental objective of undertaking is to naturally decide if the individual is influenced by Parkinson's illness utilizing voice signal. Different investigations audit that, around 90 percent of the general population with Parkinson's infection picks up changes in their voice. The investigation investigate the alteration of programmed discourse acknowledgment to malady identification. MFCC technique is the well known and most prevalent and this is utilized as a part of this task. The classifier utilized here is k-closest neighbors which is a non-parametric methodology used for gathering and backslide. Distinctive voice highlights are utilized and 99% exactness is probably going to accomplished.

Keywords: Mel-frequency cepstrum coefficients processor(MFCC), KNN classifier, Parkinson's disease(PD)

[1]. A. Tsanas, M. A. Little, P. E. McSharry, and L. O. Ramig, "Accurate telemonitoring of Parkinson's disease progression using non-invasive speech tests," IEEE Trans. Biomed. Eng., vol. 57, no. 4, pp. 884–893, Apr. 2012.
[2]. A. Tsanas, M. A. Little, P. E. McSharry, and L. O. Ramig, "Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity," J. Roy. Soc., vol. 8, pp. 842–855, 2011.
[3]. S. Sapir, L.Ramig, J. Spielman, and C. Fox, "Formant Centralization Ratio(FCR): A proposal for a new acoustic measure of dysarthric speech," J. Speech Language Hearing Res., vol. 53, pp. 114–125, 2010.
[4]. R. Das, "Classification of Parkinson's disease by using voice measurements," Expert Syst. Appl., vol. 37, pp. 1568–1572, 2010.
[5]. A. Tsanas, M. Little, P. McSharry, J. Spielman, and L. Ramig, "Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease," IEEE Trans. Biomed. Eng., vol. 59, no. 5, pp.

ABSTRACT: VLSI design course concepts are easier to comprehend with the use of accompanying software examples. Using the student-version of Microwind, students are introduced to the design of circuits in the layout level. In the first lectures the difficult to grasp parts are those related to the concepts of design rules, relation between layout and cross-section view, the role of multiple contacts, n-well polarization, latchup, design of basic mosfet structures using layout generator or custom design and their simulation, and automatic layout generation from a Verilog description of the circuit. These are the topics discussed in the current article with emphasis on the conceptual significance of the cross-section views of a design in order to assist students understand that the layout is a top-down view of a three - dimensional stack of materials. Also some practical examples of complete layouts of basic introductory circuits are presented

Keywords: VLSI Design, Microwind, Layout, Design Rules, DRC, Mask, Material Layers

[1] http://srv-wwwperso.insa-toulouse.fr/~sicard/microwind/microwind.html
[2] E. Sicard, S. D. Bendhia, Basics of CMOS Cell Design (McGraw-Hill, 2007).