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
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey
dinhviettoanle/survey-music-nlp
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Music has been frequently compared to language, as they share several similarities, including sequential representations of text and music.
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.
mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks
chrispla/mir_ref
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Music Information Retrieval (MIR) research is increasingly leveraging representation learning to obtain more compact, powerful music audio representations for various downstream MIR tasks.
Mustango: Toward Controllable Text-to-Music Generation
Through extensive experiments, we show that the quality of the music generated by Mustango is state-of-the-art, and the controllability through music-specific text prompts greatly outperforms other models such as MusicGen and AudioLDM2.
Proceedings of the 5th International Workshop on Reading Music Systems
suziai/gui-tools
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The International Workshop on Reading Music Systems (WoRMS) is a workshop that tries to connect researchers who develop systems for reading music, such as in the field of Optical Music Recognition, with other researchers and practitioners that could benefit from such systems, like librarians or musicologists.
A Foundation Model for Music Informatics
minzwon/musicfm
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This paper investigates foundation models tailored for music informatics, a domain currently challenged by the scarcity of labeled data and generalization issues.
miditok: A Python package for MIDI file tokenization
Natooz/MidiTok
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Recent progress in natural language processing has been adapted to the symbolic music modality.
Impact of time and note duration tokenizations on deep learning symbolic music modeling
Natooz/music-modeling-time-duration
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Symbolic music is widely used in various deep learning tasks, including generation, transcription, synthesis, and Music Information Retrieval (MIR).
Motif-Centric Representation Learning for Symbolic Music
Music motif, as a conceptual building block of composition, is crucial for music structure analysis and automatic composition.
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
anusfoil/symrep
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Music Information Retrieval (MIR) has seen a recent surge in deep learning-based approaches, which often involve encoding symbolic music (i. e., music represented in terms of discrete note events) in an image-like or language like fashion.
