Robust HI and dysarthric speaker recognition – perceptual features and models

Multimedia Tools and Applications - This paper explores the necessity of having hearing impaired (HI) and dysarthric speakers be part of the person authentication system and it is considered to be...     

Energy Efficient Lightweight Mutual Authentication Protocol (REAP) for MBAN Based on Genus-2 Hyper-Elliptic Curve

Wireless Personal Communications - In the modern era, medical body area network (MBAN) emerges with the development of information and communication technology to improve the quality of healthcare...     

Comparative analysis of Dysarthric speech recognition: multiple features and robust templates

Research on recognizing the speeches of normal speakers is generally in practice for numerous years. Nevertheless, a complete system for recognizing the speeches of persons with a speech impairment is still under development. In this work, an isolated digit recognition system is developed to recognize the speeches of speech-impaired people affected with dysarthria. Since the speeches uttered by the dysarthric speakers are exhibiting erratic behavior, developing a robust speech recognition system would become more challenging. Even manual recognition of their speeches would become futile. This work analyzes the use of multiple features and speech enhancement techniques in implementing a cluster-based speech recognition system for dysarthric speakers. Speech enhancement techniques are used to improve speech intelligibility or reduce the distortion level of their speeches. The system is evaluated using Gamma-tone energy (GFE) features with filters calibrated in different non-linear frequency scales, stock well features, modified group delay cepstrum (MGDFC), speech enhancement techniques, and VQ based classifier. Decision level fusion of all features and speech enhancement techniques has yielded a 4% word error rate (WER) for the speaker with 6% speech intelligibility. Experimental evaluation has provided better results than the subjective assessment of the speeches uttered by dysarthric speakers. The system is also evaluated for the dysarthric speaker with 95% speech intelligibility. WER is 0% for all the digits for the decision level fusion of speech enhancement techniques and GFE features. This system can be utilized as an assistive tool by caretakers of people affected with dysarthria.

     

Privacy preserving light weight authentication protocol (LEAP) for WBAN by exploring Genus-2 HEC

Multimedia Tools and Applications - Wireless Body Area Network (WBAN) is evolving as the successful way of monitoring patient health and offers enhanced healthcare solutions to provide the better...     

SCAN-speech biometric template protection based on genus-2 hyper elliptic curve

Multimedia Tools and Applications - Rapid growth in the mobile technology manifolds the usage of mobile devices. It leads to the development and popularity of mobile application in diversified...     

SNAP-compressive lossless sensitive image authentication and protection scheme based on Genus-2 hyper elliptic curve

Multimedia Tools and Applications - Hyper Elliptic Curve Cryptography (HECC) offers comparable security as that of Elliptic Curve Cryptography (ECC) even with much reduced key size. This reduction...     

RADIANT - hybrid multilayered chaotic image encryption system for color images

Multimedia Tools and Applications - Rapid growth in the use of digitized images in commercial, business, government and medical use has led to the need for protecting the images against...