Real-Time Filler Word Detection for Improving Speech Habits
Speakers who rely heavily on filler words (um, uh, like, etc.) often lack awareness of the habit in the moment, making it difficult to self-correct through reflection alone. Existing tools like speech coaches or post-hoc recordings don't provide real-time feedback during natural conversation. The gap is a live feedback loop that surfaces the problem as it occurs rather than after the fact.
Signal
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Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.