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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 RodÃ
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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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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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Hyperbolic Music Transformer for Structured Music Generation
IEEE Access, 2023 In the field of music generation, generating structured music is a highly challenging research topic. Music generation methods are currently learned in Euclidean space and usually modeled as a time series without structural properties, but due to the ...
Wenkai Huang +4 more
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Simple and Controllable Music Generation [PDF]
Neural Information Processing Systems, 2023 We tackle the task of conditional music generation. We introduce MusicGen, a single Language Model (LM) that operates over several streams of compressed discrete music representation, i.e., tokens.
Jade Copet +7 more
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Locating Creativity in Differing Approaches to Musical Robotics
Frontiers in Robotics and AI, 2021 The field of musical robotics presents an interesting case study of the intersection between creativity and robotics. While the potential for machines to express creativity represents an important issue in the field of robotics and AI, this subject is ...
Steven Kemper
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Multi-Genre Symbolic Music Generation using Deep Convolutional Generative Adversarial Network [PDF]
ITM Web of Conferences, 2023 Music is an art that uses sound to convey emotions and ideas. It is a universal language that transcends cultural boundaries and can move and inspire individuals of all ages and cultures.
Chauhan Chris +2 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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