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Music AI web-based application.

Jupyter Notebook 99.16% JavaScript 0.02% HTML 0.01% Vue 0.53% Python 0.22% CSS 0.06%
data-science lyrics-analysis music-genre-classification speech-recognition natural-language-processing neural-network tensorflow

harmon-ai's Introduction

Harmon-AI

This project is the result of a collaboration between Samuel and Oriol. As music and AI enthusiats, we emarked on this journey to create a platform that explores the relationship between music, emotion, and genres using deep learning architectures, including neural networks, coupled with natural language processing techniques.

About the project

Our web-based application offers two music analysis modules, designed to provide insights into various aspects of songs. With features such as music genre classification and lyric sentiment analysis, users can delve into the nuances of their favorite tracks and discover new perspectives on the music they love.

Key features

Music Genre Classification

Our system analyzes uploaded songs to determine the similarity between different music genres.

Lyrics Sentiment Analysis

By employing natural language processing techniques, our system analyzes song lyrics to determine their emotional tone.

harmon-ai's People

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