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Greatest papers with code

A Unified Neural Architecture for Instrumental Audio Tasks

1 Mar 2019r9y9/wavenet_vocoder

Within Music Information Retrieval (MIR), prominent tasks -- including pitch-tracking, source-separation, super-resolution, and synthesis -- typically call for specialised methods, despite their similarities.

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL SUPER-RESOLUTION TRANSFER LEARNING

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

11 Oct 2020bytedance/GiantMIDI-Piano

Symbolic music datasets are important for music information retrieval and musical analysis.

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL

CREPE: A Convolutional Representation for Pitch Estimation

17 Feb 2018marl/crepe

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

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL

A Tutorial on Deep Learning for Music Information Retrieval

13 Sep 2017keunwoochoi/mir_deepnet_tutorial

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

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL

Optical Music Recognition with Convolutional Sequence-to-Sequence Models

16 Jul 2017apacha/OMR-Datasets

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

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL

Music Artist Classification with Convolutional Recurrent Neural Networks

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

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.

ARTIST CLASSIFICATION INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL

Receptive-Field Regularized CNNs for Music Classification and Tagging

27 Jul 2020kkoutini/cpjku_dcase19

However, the MIR field is still dominated by the classical VGG-based CNN architecture variants, often in combination with more complex modules such as attention, and/or techniques such as pre-training on large datasets.

INFORMATION RETRIEVAL MUSIC CLASSIFICATION MUSIC INFORMATION RETRIEVAL

Explaining Deep Convolutional Neural Networks on Music Classification

8 Jul 2016keunwoochoi/Auralisation

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.

CHORD RECOGNITION GENRE CLASSIFICATION INFORMATION RETRIEVAL MUSIC CLASSIFICATION MUSIC INFORMATION RETRIEVAL

Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks

17 Nov 2015glennq/instrument-recognition

Traditional methods to tackle many music information retrieval tasks typically follow a two-step architecture: feature engineering followed by a simple learning algorithm.

FEATURE ENGINEERING INFORMATION RETRIEVAL INSTRUMENT RECOGNITION MUSIC INFORMATION RETRIEVAL

Learning Complex Basis Functions for Invariant Representations of Audio

13 Jul 2019SonyCSLParis/cae-invar

Mapping signals onto complex basis functions learned by the CAE results in a transformation-invariant "magnitude space" and a transformation-variant "phase space".

INFORMATION RETRIEVAL MUSIC INFORMATION RETRIEVAL