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• From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition

  Colin Lea, Zifang Huang, Jaya Narain, Lauren Tooley, Dianna Yee, Dung Tien Tran, Panayiotis Georgiou, Jeffrey P. Bigham, Leah Findlater · 2023 · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23)

  This paper investigates how people who stutter (PWS) experience consumer speech recognition systems and demonstrates technical improvements that can significantly reduce errors. The work combines user research with engineering interventions across the speech recognition…

  stuttering · speech recognition · voice assistants · dictation · speech accessibility

• Reviewing Speech Input with Audio: Differences between Blind and Sighted Users

  Jonggi Hong, Christine Vaing, Hernisa Kacorri, Leah Findlater · 2020 · ACM Transactions on Accessible Computing

  This paper investigates how blind users identify automatic speech recognition (ASR) errors when reviewing dictated text through audio only—a critical yet understudied aspect of speech-based text entry. While speech input is a primary interaction method for blind mobile users…

  speech recognition · ASR errors · screen readers · text entry · blind users

• Exploring the Use of Speech Input by Blind People on Mobile Devices

  Shiri Azenkot, Nicole B. Lee · 2013 · Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper investigates how blind people use speech input on mobile devices through two studies: a survey of 169 participants (64 blind/low-vision, 105 sighted) and a laboratory study with 8 blind participants composing paragraphs on an iPod Touch using speech dictation versus…

  visual impairment · blindness · speech input · speech recognition · mobile accessibility

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