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 …

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 …

[HTML][HTML] Recent advancements in automatic disordered speech recognition: A survey paper

N Gohider, OA Basir - Natural Language Processing Journal, 2024 - Elsevier
Abstract Automatic Speech Recognition technology (ASR) has recently witnessed a
paradigm shift with respect to performance accuracy. Nevertheless, impaired speech …

Distributed intelligence in industrial and automotive cyber–physical systems: a review

N Piperigkos, A Gkillas, G Arvanitis… - Frontiers in Robotics …, 2024 - frontiersin.org
Cyber–physical systems (CPSs) are evolving from individual systems to collectives of
systems that collaborate to achieve highly complex goals, realizing a cyber–physical system …

Data augmentation techniques for transfer learning-based continuous dysarthric speech recognition

TA Mariya Celin, P Vijayalakshmi… - Circuits, Systems, and …, 2023 - Springer
Data augmentation is an essential component in building a dysarthric speech recognition
system, as speech data collection from dysarthric speakers with varying degree of disorder …

Tran-DSR: A hybrid model for dysarthric speech recognition using transformer encoder and ensemble learning

R Mahum, AM El-Sherbeeny, K Alkhaledi, H Hassan - Applied Acoustics, 2024 - Elsevier
Over the last decade, there has been a notable increase in the pervasiveness of
neurological diseases due to population growth and aging. Among individuals with …

[PDF][PDF] Enhancement automatic speech recognition by deep neural networks

MD Hassan, AN Nasret, MR Baker… - … of Engineering and …, 2021 - researchgate.net
The performance of speech recognition tasks utilizing systems based on deep learning has
improved dramatically in recent years by utilizing different deep designs and learning …

Data augmentation using virtual microphone array synthesis and multi-resolution feature extraction for isolated word dysarthric speech recognition

TAM Celin, T Nagarajan… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Dysarthria is a speech-motor disorder that affects the articulatory systems inhibiting their
speech communication efforts. To handle their communication problems, a speech …

A spatial–temporal graph model for pronunciation feature prediction of Chinese poetry

Q Wang, W Liu, X Wang, X Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of artificial intelligence, speech recognition and prediction have
become one of the important research domains with wild applications, such as intelligent …

Speech Recognition via CTC-CNN Model.

WT Sung, HW Kang, SJ Hsiao - Computers, materials & …, 2023 - search.ebscohost.com
In the speech recognition system, the acoustic model is an important underlying model, and
its accuracy directly affects the performance of the entire system. This paper introduces the …