Inspiration
I have had a severe stutter and now gotten in control of it. Alleviating pain for other stutterers is one of the things that gives me the most meaning.
What it does
It acts as a personal coach giving advice after every 20 seconds. It tracks down bad formulation, cancels out filler words like "like", "umm" and "ah". The Delayed Auditory Feedback function is optional and can be turned on or off.
How we built it
Building the AI-enhanced DAF tool started with a deep dive into understanding the nuances of stuttering and the limitations of existing management tools. The core of this project lies in leveraging advanced AI technologies—specifically Natural Language Understanding (NLU) and Natural Language Generation (NLG).
Challenges we ran into
Complexity of Stutter Patterns: One of the first hurdles is the inherent complexity and variability of stuttering patterns among individuals. Crafting an AI that could accurately understand and adapt to such a wide range of speech nuances required a deep dive into both linguistic research and machine learning techniques
What we learned
Developing this tool underscored the significance of placing users at the heart of the design process. Feedback from potential users and iterative testing were invaluable in shaping the tool to meet real-world needs effectively. It taught me that technology must adapt to people, not the other way around.
What's next for Personal-AI DAF Tool for Stutter
Advanced Personalization Through AI: Continuing to refine the AI algorithms to offer even more personalized feedback and support. Better understand and respond to the nuanced needs of individuals who stutter, ensuring the tool becomes more effective over time.
Expanding the User Base: Broadening the reach of the tool to include a wider demographic, including children and non-English speakers, by adapting the technology to support multiple languages and age-specific interfaces.
Integration with Wearable Technology: Exploring opportunities to integrate the DAF tool with wearable devices, such as smartwatches or earbuds, to provide discreet, on-the-go support that users can access anytime, anywhere, enhancing the tool's usability and convenience.
Collaboration with Speech Therapists and Researchers: Partnering with professionals in the fields of speech therapy and linguistics to ensure the tool complements traditional therapy practices effectively. This collaboration aims to incorporate expert insights into the tool’s development, ensuring it meets the highest standards of care.
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