Browse SoTA > Music > Music Auto-Tagging

Music Auto-Tagging

6 papers with code · Music

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

FMA: A Dataset For Music Analysis

ISMIR 2017 mdeff/fma

We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable for evaluating several tasks in MIR, a field concerned with browsing, searching, and organizing large music collections.

MUSIC AUTO-TAGGING MUSIC CLASSIFICATION MUSIC GENRE RECOGNITION MUSIC INFORMATION RETRIEVAL

Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms

28 Oct 2017tae-jun/resemul

Recent work has shown that the end-to-end approach using convolutional neural network (CNN) is effective in various types of machine learning tasks.

MUSIC AUTO-TAGGING

Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms

6 Mar 2017kyungyunlee/sampleCNN-pytorch

Recently, the end-to-end approach that learns hierarchical representations from raw data using deep convolutional neural networks has been successfully explored in the image, text and speech domains.

MUSIC AUTO-TAGGING MUSIC CLASSIFICATION

Deep Content-User Embedding Model for Music Recommendation

18 Jul 2018jongpillee/deep-content-user

Recently deep learning based recommendation systems have been actively explored to solve the cold-start problem using a hybrid approach.

MUSIC AUTO-TAGGING RECOMMENDATION SYSTEMS

Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging

6 Mar 2017jongpillee/music_dataset_split

Second, we extract audio features from each layer of the pre-trained convolutional networks separately and aggregate them altogether given a long audio clip.

IMAGE CLASSIFICATION MUSIC AUTO-TAGGING TRANSFER LEARNING

A Deep Bag-of-Features Model for Music Auto-Tagging

20 Aug 2015juhannam/deepbof

Feature learning and deep learning have drawn great attention in recent years as a way of transforming input data into more effective representations using learning algorithms.

AUDIO CLASSIFICATION INFORMATION RETRIEVAL MUSIC AUTO-TAGGING MUSIC INFORMATION RETRIEVAL UNSUPERVISED LEARNING