Music Information Retrieval

61 papers with code • 0 benchmarks • 17 datasets

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Most implemented papers

Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook

kyungyunlee/ismir2018-revisiting-svd 4 Jun 2018

Since the vocal component plays a crucial role in popular music, singing voice detection has been an active research topic in music information retrieval.

Music Artist Classification with Convolutional Recurrent Neural Networks

ZainNasrullah/music-artist-classification-crnn 14 Jan 2019

To this end, an established classification architecture, a Convolutional Recurrent Neural Network (CRNN), is applied to the artist20 music artist identification dataset under a comprehensive set of conditions.

GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music

bytedance/GiantMIDI-Piano 11 Oct 2020

In this article, we create a GiantMIDI-Piano (GP) dataset containing 38, 700, 838 transcribed notes and 10, 855 unique solo piano works composed by 2, 786 composers.

Optical Music Recognition with Convolutional Sequence-to-Sequence Models

eelcovdw/mono-musicxml-dataset 16 Jul 2017

This data set is the first publicly available set in OMR research with sufficient size to train and evaluate deep learning models.

A Tutorial on Deep Learning for Music Information Retrieval

keunwoochoi/mir_deepnet_tutorial 13 Sep 2017

Following their success in Computer Vision and other areas, deep learning techniques have recently become widely adopted in Music Information Retrieval (MIR) research.

CREPE: A Convolutional Representation for Pitch Estimation

marl/crepe 17 Feb 2018

To date, the best performing techniques, such as the pYIN algorithm, are based on a combination of DSP pipelines and heuristics.

Improving Machine Hearing on Limited Data Sets

hararticles/gs-ms-mt 21 Mar 2019

In this contribution we investigate how input and target representations interplay with the amount of available training data in a music information retrieval setting.

Rethinking CNN Models for Audio Classification

kamalesh0406/Audio-Classification 22 Jul 2020

Besides, we show that even though we use the pretrained model weights for initialization, there is variance in performance in various output runs of the same model.

audioLIME: Listenable Explanations Using Source Separation

CPJKU/audioLIME 2 Aug 2020

Deep neural networks (DNNs) are successfully applied in a wide variety of music information retrieval (MIR) tasks but their predictions are usually not interpretable.

Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning

mimbres/neural-audio-fp 22 Oct 2020

Most of existing audio fingerprinting systems have limitations to be used for high-specific audio retrieval at scale.