Audio Deep Learning Project in Java
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Updated
Apr 2, 2018 - Java
Audio Deep Learning Project in Java
Deep Learning Audio Processing in Spring
CycleGAN timbre transfer and VGG16 music genre classification
.wav files, training dataset (MFCC), and graph plots (FFTs, MFCCs, Waveforms) from Latin America, Asia, MiddleEast, and Africa
A data science project that uses machine learning to predict genres of movies
The JSON list for all the general music genres
Using the GTZAN dataset and Deep Learning to perform music genre and emotion classification
Code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features" arXiv:2110.08862, 2021.
A Tool to create new playlists based on their genre in Spotify from another Spotify playlist using Spotify API, AI, PyTorch and Python.
Tensorflow implementation of music-genres-classification with InceptionResnetV2
This is tmdb api based project in which trending , discover movies , discover movies on the basis of genre or pagination and also search favourite category
An NLP project that categorizes book titles to different genre from the book summaries
SKOS vocabulary to represent Middle High and Early Modern German text series (genres)
Genre regognition and source sepatation algorithms in Python
Audio Pattern Recognition project - Music Genres Classification
A benchmark for evaluating robustness of automatic genre identification models to test their usability for the automatic enrichment of large text collections with genre information.
PulseRoots is an interactive visualization tool for exploring the diverse world of electronic music genres and subgenres. Using D3.js, it presents a hierarchical tree structure of electronic music styles, allowing users to navigate through different genres, learn about their characteristics, and listen to representative tracks
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