Developing accessible speech technology with users with dysarthric speech.

The Voiceitt app is designed for people with dysarthric speech, to support vocal communication and access to voice-driven technologies. Sixty-six participants were recruited to test the Voiceitt app and share feedback with developers. Most had physical, sensory, or cognitive impairments in addition to atypical speech. The project team liaised with individuals, their families and local support teams to provide access to the app and associated equipment. Testing was user-led, with participants asked to identify and test use cases most relevant to their daily lives over three months or more. Ongoing technical support and training were provided remotely and in-person throughout their testing. Semi-structured interviews were used to collect feedback on users' experiences, with delivery adapted to individuals' needs and preferences. Informal feedback was collected through ongoing contact between participants, their families and support teams and the project team. User feedback has led to improvements to the user interface and functionality, including faster voice training, simplified navigation, the introduction of game-style features and of switch access as an alternative to touchscreen access. This work offers a case-study in meaningful engagement with diverse disabled users of assistive technology in commercial software development.

Talkitt: toward a new instrument based on artificial intelligence for augmentative and alternative communication in children with down syndrome.

Introduction: Individuals with Down syndrome (DS) often exhibit a severe speech impairment, with important consequences on language intelligibility. For these cases, the use of Augmentative Alternative Communication instruments, that increase an individual's communication abilities, becomes crucial. Talkitt is a mobile application created by Voiceitt Company, exploiting speech recognition technology and artificial intelligence models to translate in real-time unintelligible sounds into clear words, allowing individuals with language production impairment to verbally communicate in real-time. Methods: The study evaluated the usability and satisfaction related to the Talkitt application use, as well as effects on adapted behavior and communication, of participants with DS. A final number of 23 individuals with DS, aged 5.54 to 28.9 years, participated in this study and completed 6 months of training. The application was trained to consistently recognize at least 20 different unintelligible words (e.g., nouns and/or short phrases)/person. Results: Results revealed good usability and high levels of satisfaction related to the application use. Moreover, we registered improvement in linguistic abilities, particularly naming. Discussion: These results paves the road for a potential role of Talkitt application as a supportive and rehabilitative tool for DS.