Recognizing disordered speech is a challenge to Automatic Speech Recognition (ASR)
systems. This research focuses on classifying disordered speech vs. non-disordered speech …

Speech disorders may affect the process of phonetic transcriptions. In the Automated
Phonetic Transcription-the grading tool (APTgt), a linguistic E-learning system, to reduce the …

An individual with a speech disorder, autism, brain injury, autistic spectrum disorders, and
stroke usually has trouble producing or forming the spoken sounds necessary for effective …

The main purpose of the research is to model the cognitive processes that occur when the
physician determines the severity of the dysphonia, and to build an IT system that can …

We adopt Bidirectional Long Short-Term Memory (BiLSTM) neural network and Wavelet
Scattering Transform with Support Vector Machine (WST-SVM) classifier for detecting …

Special disease types may affect the complex mechanisms of speech production in different
ways, causing various speech disorders. This is the reason why extraction of biomarkers …

The automatic system for classification of healthy and pathological voices has received a
significant attention in the research of early detection and diagnosis of voice disorders. In …

Personal and Ubiquitous Computing (2021) 25 (Suppl 1): S31 ORIGINAL ARTICLE
RETRACTED ARTICLE: High-performance cloud computing–oriented corpus and English …

Vast industrial growth has increased the demand of automatic speech recognition for
various automation and human machine interaction application. Performance of various …

Objective: This study introduces an approach to voice disorder classification, utilizing
stacking ensemble learning in deep learning models. It further investigates the influence of …