Music Information Retrieval
93 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
Latest papers with no code
A Novel Audio Representation for Music Genre Identification in MIR
For Music Information Retrieval downstream tasks, the most common audio representation is time-frequency-based, such as Mel spectrograms.
DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning
Our method achieves an accuracy of 88. 1% and 97 % during inference on the Comp Music Carnatic dataset and its 10 Raga subset respectively making it the state-of-the-art for the Raga recognition task.
MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music
To this end, we present MuChin, the first open-source music description benchmark in Chinese colloquial language, designed to evaluate the performance of multimodal LLMs in understanding and describing music.
Interactive singing melody extraction based on active adaptation
The proposed method is model-agnostic and hence can be applied to other non-adaptive melody extraction models to boost their performance.
Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training
Music auto-tagging is crucial for enhancing music discovery and recommendation.
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio
The model is evaluated on two tasks: tag-based music retrieval and music auto-tagging.
StemGen: A music generation model that listens
End-to-end generation of musical audio using deep learning techniques has seen an explosion of activity recently.
Barwise Music Structure Analysis with the Correlation Block-Matching Segmentation Algorithm
Music Structure Analysis (MSA) is a Music Information Retrieval task consisting of representing a song in a simplified, organized manner by breaking it down into sections typically corresponding to ``chorus'', ``verse'', ``solo'', etc.
Can MusicGen Create Training Data for MIR Tasks?
We are investigating the broader concept of using AI-based generative music systems to generate training data for Music Information Retrieval (MIR) tasks.
ChoralSynth: Synthetic Dataset of Choral Singing
Choral singing, a widely practiced form of ensemble singing, lacks comprehensive datasets in the realm of Music Information Retrieval (MIR) research, due to challenges arising from the requirement to curate multitrack recordings.
