Music Information Retrieval
94 papers with code • 0 benchmarks • 23 datasets
Benchmarks
These leaderboards are used to track progress in Music Information Retrieval
Datasets
FMA
MedleyDB
RWC
URMP
EMOPIA
YouTube-100M
Most implemented papers
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review
Thereinto, downbeat tracking has been a fundamental and continuous problem in Music Information Retrieval (MIR) area.
A Convolutional Approach to Melody Line Identification in Symbolic Scores
sophia1488/symbolic-melody-identification
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The backbone of the method consists of a convolutional neural network (CNN) estimating the probability that each note in the score (more precisely: each pixel in a piano roll encoding of the score) belongs to the melody line.
Learning Complex Basis Functions for Invariant Representations of Audio
Mapping signals onto complex basis functions learned by the CAE results in a transformation-invariant "magnitude space" and a transformation-variant "phase space".
Song Hit Prediction: Predicting Billboard Hits Using Spotify Data
In this work, we attempt to solve the Hit Song Science problem, which aims to predict which songs will become chart-topping hits.
Machine learning for music genre: multifaceted review and experimentation with audioset
Music genre classification is one of the sub-disciplines of music information retrieval (MIR) with growing popularity among researchers, mainly due to the already open challenges.
Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest.
Predominant Musical Instrument Classification based on Spectral Features
This work aims to examine one of the cornerstone problems of Musical Instrument Retrieval (MIR), in particular, instrument classification.
Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style
Modelling human perception of musical similarity is critical for the evaluation of generative music systems, musicological research, and many Music Information Retrieval tasks.
Receptive-Field Regularized CNNs for Music Classification and Tagging
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.
Ultra-light deep MIR by trimming lottery tickets
We show that our proposal can remove up to 90% of the model parameters without loss of accuracy, leading to ultra-light deep MIR models.
