Empirical mode decomposition for adaptive AM-FM analysis of speech: A review

R Sharma, L Vignolo, G Schlotthauer… - Speech …, 2017 - Elsevier
This work reviews the advancements in the non-conventional analysis of speech signals,
particularly from an AM-FM analysis point of view. The benefits of such an analysis, as …

Swallow detection with acoustics and accelerometric-based wearable technology: A scoping review

BPH So, TTC Chan, L Liu, CCK Yip, HJ Lim… - International Journal of …, 2022 - mdpi.com
Swallowing disorders, especially dysphagia, might lead to malnutrition and dehydration and
could potentially lead to fatal aspiration. Benchmark swallowing assessments, such as …

[PDF][PDF] Comparative evaluation of various MFCC implementations on the speaker verification task

T Ganchev, N Fakotakis, G Kokkinakis - Proceedings of the SPECOM, 2005 - Citeseer
Making no claim of being exhaustive, a review of the most popular MFCC (Mel Frequency
Cepstral Coefficients) implementations is made. These differ mainly in the particular …

Automatic speech recognition using a predictive echo state network classifier

MD Skowronski, JG Harris - Neural networks, 2007 - Elsevier
We have combined an echo state network (ESN) with a competitive state machine
framework to create a classification engine called the predictive ESN classifier. We derive …

Using human factor cepstral coefficient on multiple types of voice recordings for detecting patients with Parkinson's disease

A Benba, A Jilbab, A Hammouch - Irbm, 2017 - Elsevier
In this study, we wanted to discriminate between two groups of participants (patients with
Parkinson's disease and healthy people) by analyzing 3 types of voice recordings. Firstly we …

Cultural dependency analysis for understanding speech emotion

N Kamaruddin, A Wahab, C Quek - Expert Systems with Applications, 2012 - Elsevier
Speech has been one of the major communication medium for years and will continue to do
so until video communication becomes widely available and easily accessible. Although …

An efficient method to face and emotion detection

D Reney, N Tripathi - 2015 fifth international conference on …, 2015 - ieeexplore.ieee.org
Face detection and emotion selection is the one of the current topic in the security field
which provides solution to various challenges. Beside traditional challenges in captured …

Automatic detection system for cough sounds as a symptom of abnormal health condition

SH Shin, T Hashimoto, S Hatano - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The problem of attending to the health of the aged who live alone has became an important
issue in developed countries. One way of solving the problem is to check their health …

Minimum mean squared error time series classification using an echo state network prediction model

MD Skowronski, JG Harris - 2006 IEEE International …, 2006 - ieeexplore.ieee.org
The echo state network (ESN) has been recently proposed as an alternative recurrent neural
network model. An ESN consists of a reservoir of conventional processing elements, which …

Noise-robust automatic speech recognition using a predictive echo state network

MD Skowronski, JG Harris - IEEE Transactions on Audio …, 2007 - ieeexplore.ieee.org
Artificial neural networks have been shown to perform well in automatic speech recognition
(ASR) tasks, although their complexity and excessive computational costs have limited their …