Computational Creativity and Music Generation Systems: An Introduction to the State of the Art [PDF]
Frontiers in Artificial Intelligence, 2020 Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors from computers. One of its most prolific subfields is that of Music Generation (also called Algorithmic Composition or Musical Metacreation), that uses ...
Filippo Carnovalini, Antonio Rodà
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Musicaiz: A python library for symbolic music generation, analysis and visualization
SoftwareX, 2023 In this article, we present musicaiz, an object-oriented library for analyzing, generating and evaluating symbolic music. The submodules of the package allow the user to create symbolic music data from scratch, build algorithms to analyze symbolic music,
Carlos Hernandez-Olivan, Jose R. Beltran
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MRBERT: Pre-Training of Melody and Rhythm for Automatic Music Generation
Mathematics, 2023 Deep learning technology has been extensively studied for its potential in music, notably for creative music generation research. Traditional music generation approaches based on recurrent neural networks cannot provide satisfactory long-distance ...
Shuyu Li, Yunsick Sung
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Semi-supervised emotion-driven music generation model based on category-dispersed Gaussian Mixture Variational Autoencoders. [PDF]
PLoS ONEExisting emotion-driven music generation models heavily rely on labeled data and lack interpretability and controllability of emotions. To address these limitations, a semi-supervised emotion-driven music generation model based on category-dispersed ...
Zihao Ning, Xiao Han, Jie Pan
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InformationArtificial intelligence (AI) has emerged as a significant driving force in the development of technology and industry. It is also integrated with music as music AI in music generation and analysis.
Lijun Wei +3 more
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EmotionBox: A music-element-driven emotional music generation system based on music psychology [PDF]
Frontiers in Psychology, 2022 Chengshi Zheng +2 more
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Intelligent generation method of drum music scores based on improved CNN and STFT [PDF]
Scientific ReportsExisting music score generation methods are Limited by the scene Limitations and the quality of their generated scores is relatively Limited. To address these problems, an intelligent music score generation method combining short-time Fourier transform ...
Yuting Ni
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Drumroll Please: Modeling Multi-Scale Rhythmic Gestures with Flexible Grids
Transactions of the International Society for Music Information Retrieval, 2021 We present a new data representation for music modeling and generation called a Flexible Grid. This representation aims to balance flexibility with structure in order to encode all the musical events (notes or rhythmic onsets) in a dataset without ...
Jon Gillick +3 more
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Polyphonic music generation method based on charRNN [PDF]
Jisuanji gongcheng, 2019 In the music generation process,the charRNN method can only train monophonic music,and is not suitable for polyphonic music of multiple instrumental ensembles.In order to make charRNN suitable for polyphonic music,a method of converting MIDI music into a
WANG Siyuan,ZHOU Jianguo
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Generating Music with Data: Application of Deep Learning Models for Symbolic Music Composition
Applied Sciences, 2023 Language models based on deep learning showed promising results for artistic generation purposes, including musical generation. However, the evaluation of symbolic musical generation models is mostly based on low-level mathematical metrics (e.g., the ...
Pedro Ferreira +2 more
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