MusPyExpress: Extending MusPy with Enhanced Expression Text Support
- URL: http://arxiv.org/abs/2608.21678v1
- Date: Fri, 21 Aug 2026 22:48:12 GMT
- Title: MusPyExpress: Extending MusPy with Enhanced Expression Text Support
- Abstract summary: MusPyExpress is an extension to the popular symbolic music processing library MusPy.<n>We parse the PDMX dataset to illustrate the wealth of expression text available in MusicXML datasets.<n>We introduce multiple generative tasks, including joint expression-note generation, expression-conditioned music generation, and expression tagging.
- Score: 25.14293818095671
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Current work in modeling symbolic music primarily relies on representations extracted from MIDI-like data. While such formats allow for modeling symbolic music as sequences of notes, they omit the large space of symbolic annotations common in western sheet music broadly known as expression text, such as tempo or dynamics, which specify time- and velocity-dependent controls on the musical composition and performance. To alleviate this gap, we present MusPyExpress, an extension to the popular symbolic music processing library MusPy that enables the extraction of expression text along with symbolic music for downstream modeling. Utilizing this extension, we parse the PDMX dataset to illustrate the wealth of expression text available in MusicXML datasets. Additionally, we introduce multiple generative tasks, including joint expression-note generation, expression-conditioned music generation, and expression tagging, that take advantage of this additional notational information.
Related papers
- FIGMA: Towards FIne-Grained Music retrievAl [65.98380295254817]
Retrieving music using natural language descriptions has improved with contrastive audio-text models such as CLAP, but current systems remain limited to coarse semantic queries.<n>We show that this limitation stems from the contrastive learning objective itself: despite being trained on long captions, CLAP-based models effectively utilize only the first few tokens.<n>We propose FIGMA, a multi-view contrastive architecture that addresses this limitation by jointly optimizing global audio-text alignment and frame-level, token-wise alignment.
arXiv Detail & Related papers (2026-06-04T18:05:39Z) - Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music [47.95375326361059]
We introduce Amadeus, a novel symbolic music generation framework.<n>Amadeus adopts an autoregressive model for note sequences and a bidirectional discrete diffusion model for attributes.<n>We conduct extensive experiments on unconditional and text-conditioned generation tasks.
arXiv Detail & Related papers (2025-08-28T11:15:44Z) - Large Language Models' Internal Perception of Symbolic Music [3.9901365062418317]
Large language models (LLMs) excel at modeling relationships between strings in natural language.<n>This paper investigates how LLMs represent musical concepts by generating symbolic music data from textual prompts.
arXiv Detail & Related papers (2025-07-17T05:48:45Z) - Text2midi: Generating Symbolic Music from Captions [7.133321587053803]
This paper introduces text2midi, an end-to-end model to generate MIDI files from textual descriptions.<n>We utilize a pretrained LLM encoder to process captions, which then condition an autoregressive transformer decoder to produce MIDI sequences.<n>We conduct comprehensive empirical evaluations, incorporating both automated and human studies, that show our model generates MIDI files of high quality.
arXiv Detail & Related papers (2024-12-21T08:09:12Z) - Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation [18.12051302437043]
We propose a model equipped with fined-grained music understanding capabilities through learning from generative augmentation with temporal compositions.
We leverage existing music caption datasets and large language models (LLMs) to synthesize fine-grained music captions with structural descriptions and time boundaries for full-length songs.
arXiv Detail & Related papers (2024-07-29T22:53:32Z) - MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models [57.47799823804519]
We are inspired by how musicians compose music not just from a movie script, but also through visualizations.
We propose MeLFusion, a model that can effectively use cues from a textual description and the corresponding image to synthesize music.
Our exhaustive experimental evaluation suggests that adding visual information to the music synthesis pipeline significantly improves the quality of generated music.
arXiv Detail & Related papers (2024-06-07T06:38:59Z) - MidiCaps: A large-scale MIDI dataset with text captions [6.806050368211496]
This work aims to enable research that combines LLMs with symbolic music by presenting, the first openly available large-scale MIDI dataset with text captions.
Inspired by recent advancements in captioning techniques, we present a curated dataset of over 168k MIDI files with textual descriptions.
arXiv Detail & Related papers (2024-06-04T12:21:55Z) - MuPT: A Generative Symbolic Music Pretrained Transformer [56.09299510129221]
We explore the application of Large Language Models (LLMs) to the pre-training of music.
To address the challenges associated with misaligned measures from different tracks during generation, we propose a Synchronized Multi-Track ABC Notation (SMT-ABC Notation)
Our contributions include a series of models capable of handling up to 8192 tokens, covering 90% of the symbolic music data in our training set.
arXiv Detail & Related papers (2024-04-09T15:35:52Z) - SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition [82.38021790213752]
SongComposer is a music-specialized large language model (LLM)<n>It integrates the capability of simultaneously composing melodies into LLMs by leveraging three key innovations.<n>It outperforms advanced LLMs in tasks such as lyric-to-melody generation, melody-to-lyric generation, song continuation, and text-to-song creation.<n>We will release SongCompose, a large-scale dataset for training, containing paired lyrics and melodies in Chinese and English.
arXiv Detail & Related papers (2024-02-27T16:15:28Z) - miditok: A Python package for MIDI file tokenization [0.0]
MidiTok is an open-source library allowing to tokenize symbolic music.
It features the most popular music tokenizations, under a unified API.
arXiv Detail & Related papers (2023-10-26T07:37:44Z) - Symphony Generation with Permutation Invariant Language Model [57.75739773758614]
We present a symbolic symphony music generation solution, SymphonyNet, based on a permutation invariant language model.
A novel transformer decoder architecture is introduced as backbone for modeling extra-long sequences of symphony tokens.
Our empirical results show that our proposed approach can generate coherent, novel, complex and harmonious symphony compared to human composition.
arXiv Detail & Related papers (2022-05-10T13:08:49Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.