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• StepWrite: Adaptive Planning for Speech-Driven Text Generation

  Hamza El Alaoui, Atieh Taheri, Yi-Hao Peng, Jeffrey P. Bigham · 2025 · Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25)

  This paper introduces StepWrite, an LLM-powered voice-based writing system that enables structured, hands-free and eyes-free composition of longer-form texts. While speech-to-text tools handle short dictation well, composing structured emails or detailed responses requires…

  voice interface · speech-to-text · hands-free interaction · eyes-free interaction · large language models

• A mean for communication between deaf and hearing pairs in inclusive educational settings: the Sessai app

  Soraia Silva Prietch, Emanuel José dos Santos, Lucia Vilela Leite Filgueiras · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This extended abstract presents Sessai, an Android application designed to facilitate communication between Deaf or Hard of Hearing (D/HH) students and their hearing peers and teachers in inclusive classroom settings in Brazil. The app uses a WhatsApp-inspired chat interface…

  deaf and hard of hearing · sign language · inclusive education · mobile application · assistive technology

• Tracked Speech-To-Text Display: Enhancing Accessibility and Readability of Real-Time Speech-To-Text

  Raja S. Kushalnagar, Gary W. Behm, Aaron W. Kelstone, Shareef Ali · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This research addresses a subtle but significant barrier facing deaf and hard of hearing (DHH) students in educational settings: visual dispersion. While hearing students can simultaneously watch lecture visuals (slides, demonstrations, whiteboard) and listen to the speaker's…

  deaf and hard of hearing · speech-to-text · CART · captioning · education

• Real-Time Captioning with the Crowd

  Walter S. Lasecki, Jeffrey P. Bigham · 2014 · Interactions

  This article presents Scribe, a crowdsourced real-time captioning system that allows groups of non-expert typists to collectively produce captions at the speed of natural speech — a task that normally requires highly trained professional stenographers. The authors motivate the…

  real-time captioning · crowdsourcing · deaf and hard of hearing · speech-to-text · human computation

• Legion Scribe: Real-Time Captioning by Non-Experts

  Walter S. Lasecki, Raja Kushalnagar, Jeffrey P. Bigham · 2014 · ACM SIGACCESS Conference on Computers and Accessibility

  This demonstration paper presents Legion:Scribe, a crowd-powered captioning system that enables groups of 3-5 non-expert typists to collectively produce real-time captions with less than 5 seconds of latency. The system addresses the prohibitive cost of professional…

  real-time captioning · crowdsourcing · deaf and hard of hearing · speech-to-text · human computation

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