Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
9 results found tagged dysarthria.
-
CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices
This CHI 2026 paper introduces CLARIS (Clear and Accessible Restoration of Impaired Speech), a compact end-to-end neural speech-to-speech restoration system designed to convert whispered speech and dysarthric speech into clear, natural, intelligible …
-
Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech
This short ASSETS 2007 poster from Frank Rudzicz at the University of Toronto compares two strategies for building automatic speech recognition (ASR) acoustic models that work for people with dysarthria — a set of motor speech disorders that produces…
-
How Someone with a Neuromuscular Disease Experiences Operating a PC (and How to Successfully Counteract That)
This experience report describes the first author's personal journey as a computer scientist with Friedreich's Ataxia (FA), a progressive neuromuscular disease diagnosed at age 15 that causes ataxia of limbs, dysarthria, and muscle weakness. Despite …
-
SpeechOmeter: Heads-up Monitoring to Improve Speech Clarity
This demonstration paper presents SpeechOmeter, a Google Glass application that provides real-time visual biofeedback on vocal loudness to help individuals with neuromotor speech disorders (dysarthria) speak more clearly during daily conversation. Dy…
-
Automatic Detection of Phone-Based Anomalies in Dysarthric Speech
This research develops automatic methods to detect and localize acoustic anomalies in speech produced by people with dysarthria, a motor speech disorder caused by neurological damage affecting the respiratory, phonatory, resonatory, articulatory, or …
-
Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue
This editorial introduces the first part of a TACCESS special issue on speech and language interaction for daily assistive technology, emerging from the 2013 SLPAT (Speech and Language Processing for Assistive Technologies) workshop. The editors fram…
-
Overcoming Speech Barriers: Non-Verbal Voice Cue Interaction Technique for Enhancing Smart Voice Assistant Accessibility for Individuals with Dysarthria
This study presents DARIA (DysARthrIA), a novel smart voice assistant interaction system that uses non-verbal voice cues instead of spoken words and sentences. The system addresses a critical accessibility gap: commercial voice assistants like Alexa …
-
Assessing Virtual Assistant Capabilities with Italian Dysarthric Speech
This paper evaluates how well three major smartphone virtual assistants — Apple's Siri, Google Assistant, and Microsoft's Cortana — can understand and respond to Italian dysarthric speech. Dysarthria is a motor speech disorder characterized by slurre…
-
Self-supervised learning using unlabeled speech with multiple types of speech disorder for disordered speech recognition
This paper tackles a critical barrier in accessible speech technology: automatic speech recognition (ASR) systems perform poorly for people with speech disorders because they are trained almost exclusively on typical speech. The authors from Kobe Uni…