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Now showing items 31-40 of 61
Infant cry classification: time frequency analysis
(IEEE Conference Publications, 2013-11)
Acoustic analysis of infant cry has been the subject of a number of researchers since half decades ago. This paper addresses a simple time-frequency analysis based signal processing technique using short-time Fourier ...
Multistyle classification of speech under stress using wavelet packet energy and entropy features
(IEEE Conference Publications, 2011-10)
Physco-physiological conditions like stress and emotional state may affect human's speech production. Different techniques have been proposed such as facial expressions, speech production variation, and physiological signals ...
Feature extraction for biometric recognition with photoplethysmography signals
(IEEE Conference Publications, 2013-04)
Photoplethysmography (PPG) signals stand out due to features such as readily accessible, high reliability and confidentiality, the ease of use etc. among bio-signals. The feasibility studies carried out on the PPG signals ...
Optimal selection of long time acoustic features using GA for the assessment of vocal fold disorders
(Trans Tech Publications, 2013)
In recent times, vocal fold problems have been increasing dramatically due to unhealthy social habits and voice abuse. Non-invasive methods like acoustic analysis of voice signals can be used to investigate such problems. ...
Effect of normalization method on classification of speech dysfluencies using LPC, LPCC and WLPCC
(Universiti Malaysia Perlis (UniMAP), 2010-10-16)
The main aim of this paper is to discuss the
enhancement of the classification performance on the
speech dysfluencies, namely, prolongations and
repetitions after employ statistical normalization (SN)
on signal and ...
A comparative study of wavelet families for classification of wrist motions
(Elsevier Ltd., 2012-11)
The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, ...
Wavelet based approach for the investigation of vision impairments using single trial VEPs
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03-23)
Visually evoked potential (VEP) is being widely used for the investigation of vision abnormalities. The signals are recorded using non-invasive EEG electrodes from the Occipital Cortex while a subject is presented with a ...
A study of human emotional: Review
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Modeling human activities such as human
robotic, and human behavior is an active research involving multidisciplinary field including biomedical engineering, biomechanics, mathematics etc. Thus is
due to the fact that a ...
Speech stuttering assessment using sample entropy and Least Square Support Vector Machine
(Institute of Electrical and Electronics Engineers (IEEE), 2012-03)
This work is intended to discuss the performance of sample entropy feature for the recognition of stuttered events. The data for the analysis is taken from the UCLASS database. Manual segmentation is performed to identify ...
Objective analysis of vision impairments using single trial VEPs
(Institute of Electrical and Electronics Engineers (IEEE), 2012-02-27)
Visually evoked potential (VEP) is an electrical signal generated by the brain (Occipital Cortex) in response to a visual
stimuli. These VEP are recorded non-invasively by placing the surface electrodes at the scalp, and ...