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    Detecting Stuttering Types Using Deep Learning 

    Mau, Brayden (2024-04)
    Stuttering, recognized as a prevalent speech disfluency, presents considerable challenges in achieving accurate identification. Notably, technological advancements, such as Apple’s Siri, highlight the complexities encountered ...
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    AI in GI : Reducing Colonoscopy Report Review Time and Cognitive Burden for Clinicians and Patients 

    Mau, Brayden; Rolli, Alexandra C. (2025-04)
    This project aims to standardize follow-up recommendations for colonoscopies by leveraging Generative AI and Natural Language Processing (NLP) to analyze colonoscopy and pathology reports. Current follow-up guidelines vary ...
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    Detecting Stuttering Types using Deep Learning 

    Mau, Brayden (2025-04)
    This website was developed as an educational tool to train students in accurately identifying different types of stuttering. The platform provides audio samples, allowing users to practice distinguishing between various ...

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    Author
    Mau, Brayden (3)
    Rolli, Alexandra C. (1)Subject
    Department of Computer Science (3)
    Posters (3)Automated speech recognition (ASR) (2)Machine learning (2)Stuttering (2)Artificial intelligence (1)Colonoscopy (1)Knowledge distillation (1)... View MoreDate Issued2025 (2)2024 (1)Has File(s)
    Yes (3)

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