Speech analysis for health: Current state-of-the-art and the increasing impact of deep learning
Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …
prosodic properties of a speech signal are modulated with a range of health related effects …
[HTML][HTML] Dysarthric-speech detection using transfer learning with convolutional neural networks
SRM Sekhar, G Kashyap, A Bhansali, K Singh - ICT Express, 2022 - Elsevier
Speech Dysarthria is a disorder in which speech muscles become weak, and it becomes
difficult to articulate otherwise linguistically normal speech. This work is based on detection …
difficult to articulate otherwise linguistically normal speech. This work is based on detection …
E2E-DASR: End-to-end deep learning-based dysarthric automatic speech recognition
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 …
articulation process, thereby affecting the speech intelligibility of individuals. Because this …
Voice disorder classification using speech enhancement and deep learning models
M Chaiani, SA Selouani, M Boudraa… - Biocybernetics and …, 2022 - Elsevier
With the recent development of speech-enabled interactive systems using artificial agents,
there has been substantial interest in the analysis and classification of voice disorders to …
there has been substantial interest in the analysis and classification of voice disorders to …
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) …
[PDF][PDF] Enhancement automatic speech recognition by deep neural networks
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 …
improved dramatically in recent years by utilizing different deep designs and learning …
Regularized speaker adaptation of KL-HMM for dysarthric speech recognition
This paper addresses the problem of recognizing the speech uttered by patients with
dysarthria, which is a motor speech disorder impeding the physical production of speech …
dysarthria, which is a motor speech disorder impeding the physical production of speech …
A lightly supervised approach to detect stuttering in children's speech
S Alharbi, M Hasan, AJH Simons… - … of Interspeech 2018, 2018 - eprints.whiterose.ac.uk
© 2018 International Speech Communication Association. All rights reserved. In speech
pathology, new assistive technologies using ASR and machine learning approaches are …
pathology, new assistive technologies using ASR and machine learning approaches are …
Knowledge transferability between the speech data of persons with dysarthria speaking different languages for dysarthric speech recognition
In this paper, we present an end-to-end speech recognition system for Japanese persons
with articulation disorders resulting from athetoid cerebral palsy. Because their utterance is …
with articulation disorders resulting from athetoid cerebral palsy. Because their utterance is …
Co-designing the integration of voice-based conversational AI and web augmentation to amplify web inclusivity
The Web has become an essential resource but is not yet accessible to everyone. Assistive
technologies and innovative, intelligent frameworks, for example, those using conversational …
technologies and innovative, intelligent frameworks, for example, those using conversational …