Music Modeling
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Benchmarks
JSB Chorales
Nottingham
Most implemented
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
LSTM: A Search Space Odyssey
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Music Transformer
Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions
Counterpoint by Convolution
Papers
Exploring LLMs for South Asian Music Understanding and Generation
Recent advancements in Large Language Models (LLMs) have shown promising results in music understanding and generation tasks. However, existing works remain confined to Western tonal traditions, offering little insight i…
Music GenerationMusic ModelingDepth-Structured Music Recurrence: Budgeted Recurrent Attention for Full-Piece Symbolic Music Modeling
Long-context modeling is essential for symbolic music generation, since motif repetition and developmental variation can span thousands of musical events, yet practical workflows frequently rely on resource-limited hardw…
Music GenerationMusic ModelingPianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
Existing methods for expressive music performance rendering, a conditional generation task that aims to generate a human-like performance from a symbolic score, rely on supervised learning over small labeled datasets, wh…
Self-Supervised LearningMusic ModelingHNote: Extending YNote with Hexadecimal Encoding for Fine-Tuning LLMs in Music Modeling
Recent advances in large language models (LLMs) have created new opportunities for symbolic music generation. However, existing formats such as MIDI, ABC, and MusicXML are either overly complex or structurally inconsiste…
Music GenerationMusic ModelingSLEEPING-DISCO 9M: A large-scale pre-training dataset for generative music modeling
We present Sleeping-DISCO 9M, a large-scale pre-training dataset for music and song. To the best of our knowledge, there are no open-source high-quality dataset representing popular and well-known songs for generative mu…
Music CaptioningMusic ModelingSinging Voice SynthesisFrechet Music Distance: A Metric For Generative Symbolic Music Evaluation
In this paper we introduce the Frechet Music Distance (FMD), a novel evaluation metric for generative symbolic music models, inspired by the Frechet Inception Distance (FID) in computer vision and Frechet Audio Distance …
FADMusic GenerationMusic Modeling