Music Classification

20 papers with code • 0 benchmarks • 8 datasets

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Use these libraries to find Music Classification models and implementations
2 papers

Most implemented papers

Convolutional Recurrent Neural Networks for Music Classification

keunwoochoi/icassp_2017 14 Sep 2016

We introduce a convolutional recurrent neural network (CRNN) for music tagging.

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

kyungyunlee/sampleCNN-pytorch 6 Mar 2017

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.

Transfer learning for music classification and regression tasks

keunwoochoi/transfer_learning_music 27 Mar 2017

In this paper, we present a transfer learning approach for music classification and regression tasks.

Toward Universal Text-to-Music Retrieval

seungheondoh/music-text-representation 26 Nov 2022

This paper introduces effective design choices for text-to-music retrieval systems.

Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing

bepierre/SpeechVGG 22 Oct 2019

Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer.

CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval

microsoft/muzic 21 Apr 2023

We introduce CLaMP: Contrastive Language-Music Pre-training, which learns cross-modal representations between natural language and symbolic music using a music encoder and a text encoder trained jointly with a contrastive loss.

Pre-training Music Classification Models via Music Source Separation

cgaroufis/msspt 24 Oct 2023

In this paper, we study whether music source separation can be used as a pre-training strategy for music representation learning, targeted at music classification tasks.

Explaining Deep Convolutional Neural Networks on Music Classification

keunwoochoi/Auralisation 8 Jul 2016

Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e. g. genre classification, mood detection, and chord recognition.

Zero-shot Learning for Audio-based Music Classification and Tagging

kunimi00/ZSL_music_tagging 5 Jul 2019

Audio-based music classification and tagging is typically based on categorical supervised learning with a fixed set of labels.