Difficulties in automatic speech recognition of dysarthric speakers and implications for speech-based applications used by the elderly: A literature review
V Young, A Mihailidis - Assistive Technology, 2010 - Taylor & Francis
Despite their growing presence in home computer applications and various telephony
services, commercial automatic speech recognition technologies are still not easily …
services, commercial automatic speech recognition technologies are still not easily …
Interventions using high-technology communication devices: a state of the art review
Abstract Background/Aims: In the last 20 years the range of high-technology augmentative
and alternative communication (AAC) aids has rapidly expanded. This review aimed to …
and alternative communication (AAC) aids has rapidly expanded. This review aimed to …
Machine learning assistive application for users with speech disorders
This paper investigates machine learning approaches toward the development of a speaker
dependent keywords spotting system intended for users with speech disorders, in particular …
dependent keywords spotting system intended for users with speech disorders, in particular …
Acoustic modelling from raw source and filter components 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 typical and …
task. Data deficiency is a major problem and substantial differences between typical and …
Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility
TH Falk, WY Chan, F Shein - Speech Communication, 2012 - Elsevier
Objective measurement of dysarthric speech intelligibility can assist clinicians in the
diagnosis of speech disorder severity as well as in the evaluation of dysarthria treatments. In …
diagnosis of speech disorder severity as well as in the evaluation of dysarthria treatments. In …
Evaluation of an automatic speech recognition platform for dysarthric speech
Introduction: The use of commercially available automatic speech recognition (ASR)
software is challenged when dysarthria accompanies a physical disability. To overcome this …
software is challenged when dysarthria accompanies a physical disability. To overcome this …
Artificial neural networks as speech recognisers for dysarthric speech: Identifying the best-performing set of MFCC parameters and studying a speaker-independent …
SR Shahamiri, SSB Salim - Advanced Engineering Informatics, 2014 - Elsevier
Dysarthria is a neurological impairment of controlling the motor speech articulators that
compromises the speech signal. Automatic Speech Recognition (ASR) can be very helpful …
compromises the speech signal. Automatic Speech Recognition (ASR) can be very helpful …
Articulatory knowledge in the recognition of dysarthric speech
F Rudzicz - IEEE Transactions on Audio, Speech, and …, 2010 - ieeexplore.ieee.org
Disabled speech is not compatible with modern generative and acoustic-only models of
speech recognition (ASR). This work considers the use of theoretical and empirical …
speech recognition (ASR). This work considers the use of theoretical and empirical …
Adapting acoustic and lexical models to dysarthric speech
KT Mengistu, F Rudzicz - 2011 IEEE International Conference …, 2011 - ieeexplore.ieee.org
Dysarthria is a motor speech disorder resulting from neurological damage to the part of the
brain that controls the physical production of speech. It is, in part, characterized by …
brain that controls the physical production of speech. It is, in part, characterized by …
Access interface strategies
Individuals who rely on augmentative and alternative communication (AAC) devices to
support their communication often have physical movement challenges that require …
support their communication often have physical movement challenges that require …