IDEA: an Italian dysarthric speech database
This paper describes IDEA a database of Italian dysarthric speech produced by 45 speakers
affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' …
affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' …
EasyCall corpus: a dysarthric speech dataset
R Turrisi, A Braccia, M Emanuele, S Giulietti… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper introduces a new dysarthric speech command dataset in Italian, called EasyCall
corpus. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric …
corpus. The dataset consists of 21386 audio recordings from 24 healthy and 31 dysarthric …
Synthesizing dysarthric speech using multi-talker TTS for dysarthric speech recognition
M Soleymanpour, MT Johnson… - arXiv preprint arXiv …, 2022 - arxiv.org
Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …
through slow, uncoordinated control of speech production muscles. Automatic Speech …
[HTML][HTML] 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 …
pronunciation, uncontrolled volume, slow speech, explosive pronunciation, improper …
Classification of dysarthric speech according to the severity of impairment: an analysis of acoustic features
BA Al-Qatab, MB Mustafa - IEEE Access, 2021 - ieeexplore.ieee.org
The automatic speech recognition (ASR) system is increasingly being applied as assistive
technology in the speech impaired community, for individuals with physical disabilities such …
technology in the speech impaired community, for individuals with physical disabilities such …
Raw source and filter modelling for dysarthric speech recognition
Acoustic modelling for automatic dysarthric speech recognition (ADSR) is a challenging
task. Data deficiency is a major problem and substantial differences between the typical and …
task. Data deficiency is a major problem and substantial differences between the typical and …
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 …
through slow, uncoordinated control of speech production muscles. Automatic Speech …
A framework for collecting realistic recordings of dysarthric speech-the homeservice corpus
M Nicolao, H Christensen… - … of LREC 2016, 2016 - eprints.whiterose.ac.uk
This paper introduces a new British English speech database, named the homeService
corpus, which has been gathered as part of the homeService project. This project aims to …
corpus, which has been gathered as part of the homeService project. This project aims to …
DNN acoustic models for dysarthric speech
S Tejaswi, S Umesh - 2017 Twenty-third National Conference …, 2017 - ieeexplore.ieee.org
In this paper, we investigate various training methods for building deep neural network
(DNN) based acoustic models for dysarthric speech data. Methods like multitask learning …
(DNN) based acoustic models for dysarthric speech data. Methods like multitask learning …
Automatic dysarthric speech detection exploiting pairwise distance-based convolutional neural networks
P Janbakhshi, I Kodrasi… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
Automatic dysarthric speech detection can provide reliable and cost-effective computer-
aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we …
aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we …