Reviews

Search results

• CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices

  Neil Shah, Yash Sonkar, Shirish Subhash Karande, Vineet Gandhi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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 voice output. The authors…

  speech accessibility · dysarthria · voice conversion · whispered speech · silent speech

• WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics

  Jason Wu, Siyan Wang, Siman Shen, Yi-Hao Peng, Jeffrey Nichols, Jeffrey P. Bigham · 2023 · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

  This paper introduces WebUI, a large-scale dataset of approximately 400,000 web pages automatically crawled and paired with visual, semantic, and stylistic metadata extracted from the browser engine. The dataset addresses a critical bottleneck in UI understanding research:…

  machine learning · computer vision · UI modeling · web semantics · transfer learning

• ReCog: Supporting Blind People in Recognizing Personal Objects

  Dragan Ahmetovic, Daisuke Sato, Uran Oh, Tatsuya Ishihara, Kris Kitani, Chieko Asakawa · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

  ReCog is a smartphone application designed to help blind users recognize their own personal objects — items like specific clothing, handmade goods, medicines, or family photos that cannot be identified by general-purpose recognizers such as Seeing AI or TapTapSee. The authors…

  visual impairment · blindness · object recognition · computer vision · deep learning

• People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges

  Hernisa Kacorri, Kris M. Kitani, Jeffrey P. Bigham, Chieko Asakawa · 2017 · CHI Conference on Human Factors in Computing Systems

  This paper explores whether people with visual impairments can train their own personalized object recognition systems using a smartphone camera and a small number of example photos. The authors address a fundamental limitation of existing object recognition tools for blind…

  object recognition · computer vision · blindness · transfer learning · personalization

4 results.