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' …

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 …

Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …

Dysarthric speech has several pathological characteristics, such as discontinuous
pronunciation, uncontrolled volume, slow speech, explosive pronunciation, improper …

The automatic speech recognition (ASR) system is increasingly being applied as assistive
technology in the speech impaired community, for individuals with physical disabilities such …

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 …

Dysarthria is a motor speech disorder often characterized by reduced speech intelligibility
through slow, uncoordinated control of speech production muscles. Automatic Speech …

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 …

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 …

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 …