(Unofficial) Pytorch Implementation of Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
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Updated
Nov 10, 2019 - Python
(Unofficial) Pytorch Implementation of Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
MIDI, WAV domain music emotion recognition [ISMIR 2021]
🎶 A mood-based melody generator
Master thesis on Music Emotion Recognition
A tool for visualizing emotions in music using a Python wrapper for Spotify API. Independent post-baccalaureate research by Nick Stapleton. For Kunaveer, a friend.
Music emotion recognition with Few-Shot learning methods.
A hybrid CNN-RNN model trained on the DEAM dataset for music emotion recognition using the valence-arousal model. Useful for tagging emotional content of music in media or recommendation systems
Analyze Music's emotion with fine-tuning BERT model, get different emotions' data, and transform gatherd data into song's emotion radar plot.
Generate image from music emotion. Starting from retrieve music information, predicting the valence and arousal values and eventually generate image with similar emotion.
Fine-tuning PaSST on the MTG-Jamendo Dataset
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