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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 8

Emotion-driven diffusion model for Tibetan music generation

Song Ziniua,b
Peng Chunyana,b
Wang Longhuia,b
Zheng Yuhuia,b
a. The College of Computer, b. The State Key Laboratory of Tibetan Intelligence, Qinghai Normal University, Xining Qinghai 810000, China
DOI: 10.19734/j.issn.1001-3695.2025.01.0014

Abstract

artificial intelligence has achieved remarkable progress in music creation, yet research on the automatic generation of Tibetan music remains limited. Current studies face three key challenges: inadequate expression of specific emotions, inefficiency in handling high-dimensional features, and insufficient contextual consistency in generated music. To address these issues, we propose an Emotion-Driven Diffusion Model (EDDM) based on the VAE-Diffusion framework. This model utilizes a variational autoencoder (VAE) to extract essential latent features from audio data and models them during the diffusion process. EDDM introduces three core innovations: an emotion feature encoder embedded via cross-attention to enable precise expression of Tibetan music’s unique emotions and styles, a Token Drop strategy to filter redundant features and enhance diversity and robustness, and a Self-Conditioning mechanism to ensure contextual coherence by leveraging prior-step information for next-step generation. Experimental results show that EDDM achieves state-of-the-art performance, outperforming existing methods in objective metrics such as FAD (2.35↓) , JSD (0.08↓) , and NDB (18↑) , while also excelling in subjective evaluations by producing music with strong emotional expression and feature consistency, showcasing its innovation and value in ethnic music generation. The emotionally guided Tibetan music generated in this work is publicly available at https://szn1998.github.io/.

Foundation Support

国家自然科学基金资助项目(62441609,62262056)
青海省重点研发与成果转化项目(2022-GX-155)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.01.0014
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 8

Publish History

[2025-04-01] Accepted Paper

Cite This Article

宋子牛, 彭春燕, 王龙辉, 等. 基于情感引导-扩散模型的藏族音乐生成网络 [J]. 计算机应用研究, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0014. (Song Ziniu, Peng Chunyan, Wang Longhui, et al. Emotion-driven diffusion model for Tibetan music generation [J]. Application Research of Computers, 2025, 42 (8). (2025-04-17). https://doi.org/10.19734/j.issn.1001-3695.2025.01.0014. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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