An approach for speech enhancement with dysarthric speech recognition using optimization based machine learning frameworks

B Jolad, R Khanai - International Journal Of Speech Technology, 2023 - Springer
Dysarthric speech is the noisy or source distortion speech. Reasonable speech
enhancement is required to obtain higher communication quality for non-stationary noises …

Automatic Speech and Voice Disorder Detection using Deep Learning-A Systematic Literature Review

I Sindhu, MS Sainin - IEEE Access, 2024 - ieeexplore.ieee.org
Speech and voice disorders are highly prevalent and a significant concern, particularly
among children. These disorders have a notable impact on individual's personalities …

[PDF][PDF] Bayesian Parametric and Architectural Domain Adaptation of LF-MMI Trained TDNNs for Elderly and Dysarthric Speech Recognition.

J Deng, FR Gutierrez, S Hu, M Geng, X Xie, Z Ye… - Interspeech, 2021 - se.cuhk.edu.hk
Automatic recognition of elderly and disordered speech remains a highly challenging task to
date. Such data is not only difficult to collect in large quantities, but also exhibits a significant …

Deep Learning for Pathological Speech: A Survey

SA Sheikh, M Sahidullah, I Kodrasi - arXiv preprint arXiv:2501.03536, 2025 - arxiv.org
Advancements in spoken language technologies for neurodegenerative speech disorders
are crucial for meeting both clinical and technological needs. This overview paper is vital for …

[PDF][PDF] Automatic Analyses of Dysarthric Speech based on Distinctive Features

KH Wong, HML Meng - APSIPA Transactions on Signal and …, 2023 - nowpublishers.com
Dysathria is a neuromotor disorder that causes the individual to speak with imprecise
articulation. This paper presents an automatic analysis framework for dysarthric speech …

A Study on the Digital Therapeutics Based Community Care for Rehabilitation in Dysarthria in the Post-COVID-19 Era

SD Lee - Journal of the Korea Convergence Society, 2022 - koreascience.kr
The purpose of this study was to explore ways a digital therapeutics-based community care
plans for the rehabilitation in dysarthria in a situation where non-face-to-face services are …

Dysarthric Speech Detection Using Hybrid Models

SH Fazil, D Sasikala - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Dysarthria is a speech disorder caused by weak or poorly coordinated speech-related
muscles. Dysarthria can be caused by various factors such as stroke, multiple sclerosis, or …

Dysarthric Speech Recognition Using Deep Convolution Neural Network

N Kure, SB Dhonde - 2024 IEEE International Conference on …, 2024 - ieeexplore.ieee.org
Dysarthric speech recognition (DSR) plays imperative role in assisting vocally impaired
people to indulge in voice based automation systems and human computer interaction. DSR …

Enhancing rating prediction for recommendation by metric learning with gray relational analysis

J Chen, W Zhang, Q Zhang - Grey Systems: Theory and Application, 2022 - emerald.com
Purpose The purpose of the paper is to improve the rating prediction accuracy in
recommender systems (RSs) by metric learning (ML) method. The similarity metric of user …

Dysarthria Voice Disorder Detection Using Mel Frequency Logarithmic Spectrogram and Deep Convolution Neural Network

S Yadav, D Yadav - 2024 First International Conference on …, 2024 - ieeexplore.ieee.org
Dysarthric speech recognition (DSR), often known as DSR, is an important tool that enables
persons with vocal impairments to participate in voice-based automation systems and …