Deep learning based content moderation from text, audio, video & image input modalities.
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Updated
Jan 6, 2023
Deep learning based content moderation from text, audio, video & image input modalities.
Recognizing the genre of music files using machine learning and deep learning models
Genre Classification using Convolutional Neural Networks
공개 한국어 감성 검색 엔진 - 2017 제 11회 공개SW개발자대회 결선작
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
🎵 Trained CNN model for Genre classification on GTZAN dataset [CNN Model: https://github.com/Hguimaraes/gtzan.keras]
Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset
Generate vector embeddings for music
Genre Classification Model Based on VGGish
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
musical genres binary classification using pytorch.audio and keras
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.
The project consists in evaluating music similarity and building a genre classifier using song embeddings from GTZAN dataset extracted with Essentia’s MSD-MusiCNN model.
A PySpark MLlib classification model to classify songs based on a number of characteristics into a set of 23 electronic genres.
to classify music into different genres
beets plugin to auto-detect the genre for each item within your music library
Platform for machine learning experiments developed in the project NEWSGAC
A Machine Learning project of estimating pitch of human vocal from songs by vocal separation
A tensorflow application of CNN based music genre classifier which classifies an audio clip based on it's Mel Spectrogram and a RestAPI for inference using tensorflow serving
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