A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges
S Ji, X Yang, J Luo - ACM Computing Surveys, 2023 - dl.acm.org
Significant progress has been made in symbolic music generation with the help of deep
learning techniques. However, the tasks covered by symbolic music generation have not …
learning techniques. However, the tasks covered by symbolic music generation have not …
A comprehensive survey on deep music generation: Multi-level representations, algorithms, evaluations, and future directions
S Ji, J Luo, X Yang - arXiv preprint arXiv:2011.06801, 2020 - arxiv.org
The utilization of deep learning techniques in generating various contents (such as image,
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
text, etc.) has become a trend. Especially music, the topic of this paper, has attracted …
Giantmidi-piano: A large-scale midi dataset for classical piano music
Symbolic music datasets are important for music information retrieval and musical analysis.
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …
However, there is a lack of large-scale symbolic datasets for classical piano music. In this …
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 …
Musicagent: An ai agent for music understanding and generation with large language models
AI-empowered music processing is a diverse field that encompasses dozens of tasks,
ranging from generation tasks (eg, timbre synthesis) to comprehension tasks (eg, music …
ranging from generation tasks (eg, timbre synthesis) to comprehension tasks (eg, music …
The ethics of creative AI
Creative AI has had and will continue to have immense impact on creative communities and
society more broadly. Along with the great power, these techniques provide and come …
society more broadly. Along with the great power, these techniques provide and come …
[PDF][PDF] ATEPP: A dataset of automatically transcribed expressive piano performance
Computational models of expressive piano performance rely on attributes like tempo, timing,
dynamics and pedalling. Despite some promising models for performance assessment and …
dynamics and pedalling. Despite some promising models for performance assessment and …
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 …
[PDF][PDF] Building the MetaMIDI Dataset: Linking Symbolic and Audio Musical Data.
J Ens, P Pasquier - ISMIR, 2021 - archives.ismir.net
ABSTRACT We introduce the MetaMIDI Dataset (MMD), a large scale collection of 436,631
MIDI files and metadata. MMD contains artist and title metadata for 221,504 MIDI files, and …
MIDI files and metadata. MMD contains artist and title metadata for 221,504 MIDI files, and …
End-to-end Bayesian segmentation and similarity assessment of performed music tempo and dynamics without score information
C Guichaoua, P Lascabettes, E Chew - Music & Science, 2024 - journals.sagepub.com
Segmenting continuous sensory input into coherent segments and subsegments is an
important part of perception. Music is no exception. By shaping the acoustic properties of …
important part of perception. Music is no exception. By shaping the acoustic properties of …