A review on deep-learning-based cyberbullying detection

MT Hasan, MAE Hossain, MSH Mukta, A Akter… - Future Internet, 2023 - mdpi.com
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …

Speech vision: An end-to-end deep learning-based dysarthric automatic speech recognition system

SR Shahamiri - IEEE Transactions on Neural Systems and …, 2021 - ieeexplore.ieee.org
Dysarthria is a disorder that affects an individual's speech intelligibility due to the paralysis of
muscles and organs involved in the articulation process. As the condition is often associated …

A survey of automatic speech recognition for dysarthric speech

Z Qian, K Xiao - Electronics, 2023 - mdpi.com
Dysarthric speech has several pathological characteristics, such as discontinuous
pronunciation, uncontrolled volume, slow speech, explosive pronunciation, improper …

E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition

A Almadhor, R Irfan, J Gao, N Saleem, HT Rauf… - Expert Systems with …, 2023 - Elsevier
Dysarthria is a motor speech disability caused by weak muscles and organs involved in the
articulation process, thereby affecting the speech intelligibility of individuals. Because this …

[PDF][PDF] Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition.

B Vachhani, C Bhat, SK Kopparapu - Interspeech, 2018 - isca-archive.org
Dysarthria refers to a speech disorder caused by trauma to the brain areas concerned with
motor aspects of speech giving rise to effortful, slow, slurred or prosodically abnormal …

Speaker adaptation using spectro-temporal deep features for dysarthric and elderly speech recognition

M Geng, X Xie, Z Ye, T Wang, G Li, S Hu… - … on Audio, Speech …, 2022 - ieeexplore.ieee.org
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …

Synthesizing dysarthric speech using multi-speaker tts for dysarthric speech recognition

M Soleymanpour, MT Johnson… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …

Detection of amyotrophic lateral sclerosis (ALS) via acoustic analysis

R Norel, M Pietrowicz, C Agurto, S Rishoni, G Cecchi - bioRxiv, 2018 - biorxiv.org
ABSTRACT ALS is a fatal neurodegenerative disease with no cure. Experts typically
measure disease progression via the ALSFRS-R score, which includes measurements of …

Self-supervised asr models and features for dysarthric and elderly speech recognition

S Hu, X Xie, M Geng, Z Jin, J Deng, G Li… - … on Audio, Speech …, 2024 - ieeexplore.ieee.org
Self-supervised learning (SSL) based speech foundation models have been applied to a
wide range of ASR tasks. However, their application to dysarthric and elderly speech via …

[PDF][PDF] Dysarthric Speech Recognition Using Convolutional LSTM Neural Network.

MJ Kim, B Cao, K An, J Wang - Interspeech, 2018 - isca-archive.org
Dysarthria is a motor speech disorder that impedes the physical production of speech.
Speech in patients with dysarthria is generally characterized by poor articulation, breathy …