MidiBERT-piano: large-scale pre-training for symbolic music understanding
This paper presents an attempt to employ the mask language modeling approach of BERT
to pre-train a 12-layer Transformer model over 4,166 pieces of polyphonic piano MIDI files …
to pre-train a 12-layer Transformer model over 4,166 pieces of polyphonic piano MIDI files …
Fine-grained position helps memorizing more, a novel music compound transformer model with feature interaction fusion
Due to the particularity of the simultaneous occurrence of multiple events in music
sequences, compound Transformer is proposed to deal with the challenge of long …
sequences, compound Transformer is proposed to deal with the challenge of long …
Multi-mmlg: a novel framework of extracting multiple main melodies from MIDI files
As an essential part of music, main melody is the cornerstone of music information retrieval.
In the MIR's sub-field of main melody extraction, the mainstream methods assume that the …
In the MIR's sub-field of main melody extraction, the mainstream methods assume that the …
PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training
X Liang, Z Zhao, W Zeng, Y He, F He, Y Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Learning musical structures and composition patterns is necessary for both music
generation and understanding, but current methods do not make uniform use of learned …
generation and understanding, but current methods do not make uniform use of learned …
musif: a Python package for symbolic music feature extraction
A Llorens, F Simonetta, M Serrano… - arXiv preprint arXiv …, 2023 - arxiv.org
In this work, we introduce musif, a Python package that facilitates the automatic extraction of
features from symbolic music scores. The package includes the implementation of a large …
features from symbolic music scores. The package includes the implementation of a large …
[PDF][PDF] MTD: A Multimodal Dataset of Musical Themes for MIR Research.
Musical themes are essential elements in Western classical music. In this paper, we present
the Musical Theme Dataset (MTD), a multimodal dataset inspired by “A Dictionary of Musical …
the Musical Theme Dataset (MTD), a multimodal dataset inspired by “A Dictionary of Musical …
[PDF][PDF] Learning note-to-note affinity for voice segregation and melody line identification of symbolic music data.
YW Hsiao, L Su - ISMIR, 2021 - archives.ismir.net
Voice segregation, melody line identification and other tasks of identifying the horizontal
elements of music have been developed independently, although their purposes are similar …
elements of music have been developed independently, although their purposes are similar …
A corpus describing orchestral texture in first movements of classical and early-romantic symphonies
Orchestration is the art of writing music for a possibly large ensemble of instruments, by
blending or opposing their sounds and grouping them into an orchestral texture. We aim …
blending or opposing their sounds and grouping them into an orchestral texture. We aim …
[PDF][PDF] Robust Melody Track Identification in Symbolic Music.
Melody tracks are worthy of special attention in symbolic music information retrieval (MIR)
because they contribute more towards music perception than many other musical …
because they contribute more towards music perception than many other musical …
[PDF][PDF] Classification of assamese folk songs' melody using supervised learning techniques
Objectives: A melody is made up of several musical notes or pitches that are joined together
to form one whole. This experiment aims to develop four models based on the Mel …
to form one whole. This experiment aims to develop four models based on the Mel …