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MuseFlow: music accompaniment generation based on flow
Arranging and orchestration are critical aspects of music composition and production. Traditional accompaniment arranging is time-consuming and...
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C2-MAGIC: Chord-Controllable Multi-track Accompaniment Generation with Interpretability and Creativity
Musical notes are usually grouped into chords to generate aesthetically pleasing music, which is a special characteristic in symbolic music modeling....
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Optimized intellectual natural language processing using automated chord tag construction for auto accompaniment in music
One of the most crucial components of music is accompaniment creation and chord arrangement is essential to accompanying development. A greater level...
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Design of Mobile Teaching Platform for Vocal Piano Accompaniment Course Based on Feature Comparison
With the rapid development of the Internet, the current education system courses often use mobile teaching platforms to improve teaching effects....
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Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation
Creating symbolic melodies with machine learning is challenging because it requires an understanding of musical structure and the handling of...
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Style-conditioned music generation with Transformer-GANs
Recently, various algorithms have been developed for generating appealing music. However, the style control in the generation process has been...
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An automatic music generation method based on RSCLN_Transformer network
With the development of artificial intelligence and deep learning, a large number of music generation methods have been proposed. Recently,...
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SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation
In this study, we explore to address challenges related to incorrect scores, inconsistent rhythm and labeling in the generation of symbolic music...
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A review of intelligent music generation systems
With the introduction of ChatGPT, the public’s perception of AI-generated content has begun to reshape. Artificial intelligence has significantly...
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Conditional Drums Generation Using Compound Word Representations
The field of automatic music composition has seen great progress in recent years, specifically with the invention of transformer-based...
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Melody generation based on deep ensemble learning using varying temporal context length
Music has always been the most powerful medium to express human emotion and feeling which sometimes mere words cannot express. As a result generating...
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The use of fuzzy authentication integrated with convolutional neural networks in digital content protection
In order to explore the application of neural networks in the intelligent protection of digital music copyrights, this paper initially investigates...
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CoCoFormer: A Controllable Feature-Rich Polyphonic Music Generation Method
This paper explores the modeling method of polyphonic music sequence. Due to the great potential of Transformer models in music generation,...
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Chinese Chorales Dataset: A High-Quality Music Dataset for Score Generation
For a long time, the JSB Chorales Dataset has served as the benchmark for choral composition generation, with numerous models and algorithms...
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Chord-based music generation using long short-term memory neural networks in the context of artificial intelligence
With the rapid development of artificial intelligence (AI), music generation has gained widespread attention. Long short-term memory (LSTM) has...
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Linear Transformer-GAN: A Novel Architecture to Symbolic Music Generation
Long-structured music generation that can be compared to human compositions remains an unresolved area of research. Since their introduction, the...
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Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation
Modelling musical structure is vital yet challenging for artificial intelligence systems that generate symbolic music compositions. This literature...
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Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation
The dominating approach for modeling sequences (e.g. text, music) with deep learning is the causal approach, which consists in learning to predict...
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HRPE: Hierarchical Relative Positional Encoding for Transformer-Based Structured Symbolic Music Generation
Musicians often structure their compositions hierarchically to imbue their music with rich expressiveness. As a result, generating musically...
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Literature survey of multi-track music generation model based on generative confrontation network in intelligent composition
The production of traditional music is too complicated, consuming a lot of financial and human resources. Therefore, this paper aims to use...
