[PDF][PDF] Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition.
Dysarthria is a motor speech disorder, resulting in mumbled, slurred or slow speech that is
generally difficult to understand by both humans and machines. Traditional Automatic …
generally difficult to understand by both humans and machines. Traditional Automatic …
[PDF][PDF] Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder.
Dysarthria is a manisfestation of the disruption in the neuromuscular physiology resulting in
uneven, slow, slurred, harsh or quiet speech. Dysarthric speech poses serious challenges to …
uneven, slow, slurred, harsh or quiet speech. Dysarthric speech poses serious challenges to …
[PDF][PDF] Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition.
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 …
motor aspects of speech giving rise to effortful, slow, slurred or prosodically abnormal …
Deep neural network architectures for dysarthric speech analysis and recognition
BF Zaidi, SA Selouani, M Boudraa… - Neural Computing and …, 2021 - Springer
This paper investigates the ability of deep neural networks (DNNs) to improve the automatic
recognition of dysarthric speech through the use of convolutional neural networks (CNNs) …
recognition of dysarthric speech through the use of convolutional neural networks (CNNs) …
A survey of technologies for automatic Dysarthric speech recognition
Z Qian, K Xiao, C Yu - EURASIP Journal on Audio, Speech, and Music …, 2023 - Springer
Speakers with dysarthria often struggle to accurately pronounce words and effectively
communicate with others. Automatic speech recognition (ASR) is a powerful tool for …
communicate with others. Automatic speech recognition (ASR) is a powerful tool for …
Deep learning of articulatory-based representations and applications for improving dysarthric speech recognition
Improving the accuracy of dysarthric speech recognition is a challenging research field due
to the high inter-and intra-speaker variability in disordered speech. In this work, we propose …
to the high inter-and intra-speaker variability in disordered speech. In this work, we propose …
Phonetic analysis of dysarthric speech tempo and applications to robust personalised dysarthric speech recognition
Improving the accuracy of personalised speech recognition for speakers with dysarthria is a
challenging research field. In this paper, we explore an approach that non-linearly modifies …
challenging research field. In this paper, we explore an approach that non-linearly modifies …
[PDF][PDF] Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus.
Dysarthric speech recognition is a highly challenging task. The articulatory motor control
problems associated with neuromotor conditions produce large mismatch against normal …
problems associated with neuromotor conditions produce large mismatch against normal …
[PDF][PDF] Recognition of Dysarthric Speech Using Voice Parameters for Speaker Adaptation and Multi-Taper Spectral Estimation.
Dysarthria is a motor speech disorder resulting from impairment in muscles responsible for
speech production, often characterized by slurred or slow speech resulting in low …
speech production, often characterized by slurred or slow speech resulting in low …
Deep learning-based acoustic feature representations for dysarthric speech recognition
Dysarthria is a motor speech disorder and the most common neurodegenerative disease
characterized by low volume in precise articulation, poor coordination of respiratory and …
characterized by low volume in precise articulation, poor coordination of respiratory and …