This paper describes a system for assistive writing, the Speech Supplemented Word Prediction Program (SSWPP). This system uses the first letter of a word typed by the user as well as the user’s (possibly low-intelligibility) speech to predict the intended word. The ASR system, which is the focus of this paper, is a speaker-dependent isolated-word recognition system. Word-level results from a non-dysarthric speaker indicate that almost all errors could be corrected by the SSWPP language model. Results from five speakers with moderate to severe dysarthria (average intelligibility 61.7%) averaged 62 % for word recognition and 65 % for out-of-vocabulary identification. Index Terms: assistive communication, dysarthria, automatic speech recogniti...
Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of ...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
This paper investigates machine learning approaches toward the development of a speaker dependent ke...
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping...
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping...
Nowadays, Artificial Intelligence (AI) is the most used technology to empower old and new tasks. Ind...
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping...
This thesis aims to discuss the problem of dysarthria, in particular its im- plications and causes. ...
This article investigates the evaluation of a word prediction system in an Augmentative and Alternat...
Dysarthria is a motor speech disorder caused by damage to the nervous system. People with dysarthria...
Abstract—The purpose of this study was to identify and com-pare the recognition of dysarthric speech...
Most people are familiar with the idea of using a keyboard to type up a document, send and e-mail or...
With an increasing awareness of the needs of the disabled comes a major surge in research into ways ...
Millions of individuals have acquired or have been born with neuro-motor conditions that limit the c...
In this paper, we investigate the benefits of deep learning approaches for the development of person...
Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of ...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
This paper investigates machine learning approaches toward the development of a speaker dependent ke...
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping...
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping...
Nowadays, Artificial Intelligence (AI) is the most used technology to empower old and new tasks. Ind...
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping...
This thesis aims to discuss the problem of dysarthria, in particular its im- plications and causes. ...
This article investigates the evaluation of a word prediction system in an Augmentative and Alternat...
Dysarthria is a motor speech disorder caused by damage to the nervous system. People with dysarthria...
Abstract—The purpose of this study was to identify and com-pare the recognition of dysarthric speech...
Most people are familiar with the idea of using a keyboard to type up a document, send and e-mail or...
With an increasing awareness of the needs of the disabled comes a major surge in research into ways ...
Millions of individuals have acquired or have been born with neuro-motor conditions that limit the c...
In this paper, we investigate the benefits of deep learning approaches for the development of person...
Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of ...
Speech recognition centers on the use of natural speech for human-computer interaction providing com...
This paper investigates machine learning approaches toward the development of a speaker dependent ke...