An assessment of vocal impairment is presented for separating healthy people from persons
with early untreated Parkinson's disease (PD). This study's main purpose was to (a) …

Recently, we have witnessed Deep Learning methodologies gaining significant attention for
severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its …

Despite the initial reports showing beneficial effects of dopaminergic treatment on speech in
Parkinson's disease (PD), more recent studies based upon valid measurements have not …

As part of our contributions to researches on the ongoing COVID-19 pandemic worldwide,
we have studied the cough changes to the infected people based on the Hidden Markov …

Abstract Conventional Hidden Markov Model (HMM) based Automatic Speech Recognition
(ASR) systems generally utilize cepstral features as acoustic observation and phonemes as …

Chinese is known as a syllabic and tonal language and tone recognition plays an important
role and provides very strong discriminative information for Chinese speech recognition [1] …

This paper presents a new extended average magnitude difference function for noise robust
pitch detection. Average magnitude difference function based algorithms are suitable for real …

This paper proposes a noise robust high resolution pitch detection algorithm based on
AMDF and ACF. The falling trend of AMDF is eliminated by an alignment technique, and …

N past years, many researchers have paid attention to the recognition of nonverbal
information, and have especially focused on emotion recognition. Many kinds of …

Parkinson's disease (PD) is a neurological illness associated with a variety of motor deficits
and non-motor deficits involving areas such as speech, mood, behaviour, thinking, and …