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audio-segmentation

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This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.

  • Updated Mar 1, 2024
  • Jupyter Notebook

🎙️ AI-powered Voice Activity Detection — Automatically detect and split speech segments from long audio files using Silero VAD. Beautiful Liquid Glass UI with drag-and-drop upload, visual timeline, and one-click ZIP export. No command line needed.

  • Updated Feb 24, 2026
  • CSS

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