A Memetic Algorithm for Chinese Traditional Music Composition

Zeng, Zhaofa; Zhou, Li

doi:10.1109/icsp51882.2021.9408813

2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP) 2021

DOI: 10.1109/icsp51882.2021.9408813

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A Memetic Algorithm for Chinese Traditional Music Composition

Zhaofa Zeng

Li Zhou

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2024

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Cited by 3 publications

References 15 publications

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CPTGZ: Generating Chinese Guzheng Music From Chinese Paintings Based on Diffusion Model

Zhao,

Zheng,

Cao

2024

IEEE Access

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CPTGZ: Generating Chinese Guzheng Music From Chinese Paintings Based on Diffusion Model

Zhao,

Zheng,

Cao

2024

IEEE Access

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EEG-driven automatic generation of emotive music based on transformer

Jiang,

Chen,

et al. 2024

Front. Neurorobot.

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Utilizing deep features from electroencephalography (EEG) data for emotional music composition provides a novel approach for creating personalized and emotionally rich music. Compared to textual data, converting continuous EEG and music data into discrete units presents significant challenges, particularly the lack of a clear and fixed vocabulary for standardizing EEG and audio data. The lack of this standard makes the mapping relationship between EEG signals and musical elements (such as rhythm, melody, and emotion) blurry and complex. Therefore, we propose a method of using clustering to create discrete representations and using the Transformer model to reverse mapping relationships. Specifically, the model uses clustering labels to segment signals and independently encodes EEG and emotional music data to construct a vocabulary, thereby achieving discrete representation. A time series dictionary was developed using clustering algorithms, which more effectively captures and utilizes the temporal and structural relationships between EEG and audio data. In response to the insensitivity to temporal information in heterogeneous data, we adopted a multi head attention mechanism and positional encoding technology to enable the model to focus on information in different subspaces, thereby enhancing the understanding of the complex internal structure of EEG and audio data. In addition, to address the mismatch between local and global information in emotion driven music generation, we introduce an audio masking prediction loss learning method. Our method generates music that Hits@20 On the indicator, a performance of 68.19% was achieved, which improved the score by 4.9% compared to other methods, indicating the effectiveness of this method.

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Dongjing Çi̇n Halk Müzi̇ği̇ni̇n Korunmasi Ve Aktarilmasi İçi̇n Tari̇hsel Geli̇şi̇m Ve Müzi̇ksel Özelli̇kler

Jian,

Chuangprakhon

2024

Yegah Müzikoloji Dergisi

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Yunnan Eyaleti, Lijiang'daki Naxi halkının köklü kültürel geleneği olan Çin Dongjing halk müziği, toplumun zengin mirasını ve tarihsel evrimini yansıtır. Bu çalışma, derinlemesine görüşmeler, katılımcı gözlemler ve belge analizlerini temel teorik çerçevelerle birleştirerek Dongjing müziğinin tarihsel gelişimini ve müzikal özelliklerini araştırır. Lijiang'daki araştırma, sanatçılar, kültür uzmanları ve yaşlılar da dahil olmak üzere 15 muhbiri içererek modernleşme ve küreselleşmenin zorluklarına ilişkin içgörüler sunar. Bulgular, Dongjing müziğinin kültürel koruma ve adaptasyondaki ikili rolünü vurgulayarak, kültürel süreklilik ve ritüel teorileriyle uyumunu teyit ederken kültürel adaptasyon modelleriyle olan gerilimleri ortaya çıkarır. Çağdaş literatürle bağlantılı tartışmalar yoluyla, bu çalışma sürdürülebilir aktarımı sağlamak için geleneksel özgünlüğü modernizasyon stratejileriyle dengelemenin önemini vurgular. Öneriler arasında eğitim çerçevelerinin geliştirilmesi, dijital medyanın etkili bir şekilde kullanılması ve somut olmayan kültürel mirasın korunmasına ilişkin anlayışı genişletmek için daha fazla karşılaştırmalı çalışma yer almaktadır.

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A Memetic Algorithm for Chinese Traditional Music Composition

Cited by 3 publications

References 15 publications

CPTGZ: Generating Chinese Guzheng Music From Chinese Paintings Based on Diffusion Model

CPTGZ: Generating Chinese Guzheng Music From Chinese Paintings Based on Diffusion Model

EEG-driven automatic generation of emotive music based on transformer

Dongjing Çi̇n Halk Müzi̇ği̇ni̇n Korunmasi Ve Aktarilmasi İçi̇n Tari̇hsel Geli̇şi̇m Ve Müzi̇ksel Özelli̇kler

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