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audio-recommendation

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huzaifakhan04 / music-recommendation-web-application-based-on-rhythmic-similarity-using-locality-sensitive-hashing

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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.

music spotify data-science machine-learning big-data music-recommendation lsh web-application music-information-retrieval flask-application locality-sensitive-hashing ann cosine-distance audio-segmentation audio-processing audio-recommendation music-recommendation-system approximate-nearest-neighbors
  • Updated Mar 1, 2024
  • Jupyter Notebook

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