공개 한국어 감성 검색 엔진 - 2017 제 11회 공개SW개발자대회 결선작
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
beets plugin to auto-detect the genre for each item within your music library
Generate vector embeddings for music
Genre Classification Model Based on VGGish
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.
A Machine Learning project of estimating pitch of human vocal from songs by vocal separation
Smart library tools for DJs — automatic genre and energy tagging
.wav files, training dataset (MFCC), and graph plots (FFTs, MFCCs, Waveforms) from Latin America, Asia, MiddleEast, and Africa
A music genre classification project. Audio source: gtzanetakis, Million Song Dataset; ML Libraries: Keras, Tensorflow, Pytorch; NN Models: CNN, RNN.
Audio Pattern Recognition project - Music Genres Classification
Models for music genre recognition
A two-class music genre classfier based on CNN (Convolutional Neural Network)
Dockerized benchmark model & API for classifying music by genre based on TensorFlow and Essentia
Automatic music genre classification using Multi-layer Perceptron (MLP)
Personality based Recommendation System
Music Loops Genre Classifier CNN< 4B74 /p>
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