Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
77 results found tagged speech recognition.
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Supporting Older Adults in Locating Mobile Interface Features with Voice Input
This demonstration paper presents a voice assistant system built on Android that helps older adults locate specific features on complex mobile interfaces by speaking natural language queries. The system addresses a well-documented challenge: older ad…
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Exploring Smart Speaker User Experience for People Who Stammer
This paper investigates how people who stammer experience smart speakers in their daily lives over a three-week period. The researchers deployed Google Nest devices in the homes of 11 participants (mean age 33, recruited through the STAMMA charity in…
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"I stepped into a puddle": Non-Visual Texting in Nomadic Contexts
This study investigates the under-explored practice of texting by people who are blind and visually impaired (BVI) while navigating outdoors — what the authors term "nomadic contexts." While previous research has examined accessible text entry method…
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Early Diagnosis of Autism through Analysis of Pre-Speech Vocalizations
This paper proposes an approach for early diagnosis of autism spectrum disorder (ASD) by computationally analyzing the pre-speech vocalizations of infants aged 6 to 18 months. The author notes that while autism can be reliably diagnosed by age 3, and…
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Making Emergency Calls More Accessible to Older Adults Through a Hands-free Speech Interface in the House
This paper presents CirdoX, a hands-free voice user interface system designed to detect emergency calls for help from older adults living alone at home. Wearable personal emergency response (PER) systems — typically pendant buttons worn on the neck o…
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Toward Fairness in AI for People with Disabilities: A Research Roadmap
This position paper from Microsoft Research presents a systematic risk assessment of how major categories of AI systems may fail or discriminate against people with disabilities, proposing a four-point research roadmap for increasing AI fairness. The…
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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…