Digital games for rehabilitation of speech disorders: A scoping review

S Hajesmaeel‐Gohari, S Goharinejad… - Health Science …, 2023 - Wiley Online Library
Abstract Background and Aims Digital games are among the treatment methods for speech
disorders that serve purposes other than mere entertainment. These games have been used …

Adversarial data augmentation for disordered speech recognition

Z Jin, M Geng, X Xie, J Yu, S Liu, X Liu… - arXiv preprint arXiv …, 2021 - arxiv.org
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

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 …

Adversarial data augmentation using vae-gan for disordered speech recognition

Z Jin, X Xie, M Geng, T Wang, S Hu… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Automatic recognition of disordered speech remains a highly challenging task to date. The
underlying neuro-motor conditions, often compounded with co-occurring physical …

Spectro-temporal deep features for disordered speech assessment and recognition

M Geng, S Liu, J Yu, X Xie, S Hu, Z Ye, Z Jin… - arXiv preprint arXiv …, 2022 - arxiv.org
Automatic recognition of disordered speech remains a highly challenging task to date.
Sources of variability commonly found in normal speech including accent, age or gender …

Personalized adversarial data augmentation for dysarthric and elderly speech recognition

Z Jin, M Geng, J Deng, T Wang, S Hu… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech, accurate recognition of dysarthric and elderly speech remains a highly …

[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 …

[PDF][PDF] Zihinsel engelli 3-7 yaş arasındaki çocuklarda sesletim (artikülasyon) bozukluklarının değerlendirilmesi

S Ünsal, MM Uçak, F Bal, AY Sarıgül, DU Cengiz - Güncel Pediatri, 2017 - dergipark.org.tr
GİRİŞ ve AMAÇ: Bu çalışmanın amacı; zihinsel engelli çocuklarda görülen artikülasyon
bozukluklarını normal çocuklar ile karşılaştırıp zihinsel yetersizliğin artikülasyon …

Towards Automatic Data Augmentation for Disordered Speech Recognition

Z Jin, X Xie, T Wang, M Geng, J Deng… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Automatic recognition of disordered speech remains a highly challenging task to date due to
data scarcity. This paper presents a reinforcement learning (RL) based on-the-fly data …

The speech disfluency in Ellen degeneres talk show: A psycholinguistics study

S Hermawan - AMCA Journal of Education and Behavioral …, 2022 - journal.amca2012.org
Abstract This study aimed:(1) to find out the various types of speech disfluency occurred in
Ellen DeGeneres Show conversation and (2) to reveal the dominant types of speech …