This project aims to design and create a real-time destuttering system using audio stutter classification and speech-to-text audio cleanup to 1) create an easy speech therapy aid and 2) create the baseline for a future portable destuttering device to aid severe stammering patients in everyday life.
Speech analysis system for detecting pauses and stuttered speech patterns using MFCC, cosine similarity, and phoneme-based reconstruction with a Streamlit interface.
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