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• Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment

  Michelle Cohn, Alyssa Lanzi, Yui Ishihara, Chen-Nee Chuah, Georgia Zellou, Alyssa Weakley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper quantifies how well state-of-the-art automatic speech recognition (ASR) handles voice commands produced by older adults with cognitive impairment, and asks which acoustic features actually predict transcription accuracy. The authors draw on the Voice…

  automatic speech recognition · ASR · dementia · Alzheimer's disease · mild cognitive impairment

• visiBabble Demo

  Harriet Fell, Joel MacAuslan, Jun Gong, Josh Ostrow · 2005 · Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '05)

  This paper presents a demonstration of visiBabble, a computer-based system designed to encourage and reinforce pre-speech vocalizations in infants at risk of being nonspeaking due to neurological or oral/motor impairments. The system consists of a notebook computer, microphone,…

  early intervention · pre-speech vocalizations · speech technology · visual feedback · assistive technology

• visiBabble for Reinforcement of Early Vocalization

  Harriet Fell, Cynthia Cress, Joel MacAuslan, Linda Ferrier · 2003 · Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '04)

  This paper presents visiBabble, a real-time system that detects syllable-like vocalizations in infant babbling and responds with brightly coloured animations as visual reinforcement. The system targets infants at risk for speech impairments due to conditions such as cerebral…

  early intervention · speech and language · child development · acoustic analysis · developmental disabilities

• Automatic Babble Recognition for Early Detection of Speech Related Disorders

  Harriet J. Fell, Joel MacAuslan, Karen Chenausky, Linda J. Ferrier · 1998 · Proceedings of the Third International ACM Conference on Assistive Technologies (Assets '98)

  This paper presents the Early Vocalization Analyzer (EVA), a program that automatically analyzes digitized recordings of infant babbling to detect syllable boundaries, with the goal of screening infants who may be at risk for later communication problems. The research is…

  early intervention · speech technology · child development · speech disorders · babbling

• EVA, an Early Vocalization Analyzer: An Empirical Validity Study of Computer Categorization

  Harriet J. Fell, Linda J. Ferrier, Zehra Mooraj, Etienne Benson, Dale Schneider · 1996 · Proceedings of the Second Annual ACM Conference on Assistive Technologies (Assets '96)

  This paper from Northeastern University presents EVA (Early Vocalization Analyzer), a Macintosh-based software tool that automatically analyzes digitized recordings of infant vocalizations to support early identification of speech and language delays. The research is grounded in…

  early intervention · speech and language · acoustic analysis · infant vocalization · babbling

• A system for teaching speech to profoundly deaf children using synthesized acoustic and articulatory patterns

  E. Keate, H. Javkin, N. Antonanzas-Barroso, R. Zou · 1994 · Proceedings of the First Annual ACM Conference on Assistive Technologies (Assets '94)

  This paper describes a PC-based computer-assisted speech training system for profoundly deaf children that integrates a text-to-speech (TTS) synthesizer to generate both acoustic and articulatory models for any typed utterance. The system addresses a fundamental limitation of…

  deaf education · speech training · text-to-speech · palatography · visual feedback

6 results.