App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 8

Multi-emotion driven virtual speaker generation method integrating mul-tiple emotions

Li Shuaishuaia,b
He Xiangzhena,b
Zhang Yuezhoua,b
Wang Jiaxina,b
a. Key Laboratory of Linguistic & Cultural Computing Ministry of Education, b. Key Laboratory of Ethnic Language & Cultural Intelligent Information Processing, Northwest Minzu University, Lanzhou 730030, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0559

Abstract

Virtual speaker generation is an important research direction in the field of artificial intelligence, aiming to generate virtual speakers with realistic voices through computers. However, existing methods often neglect emotional expression and the facial details of the generated face images lack realism, limiting the performance and interactivity of the virtual speakers. To address this issue, a Transformer-based Generative Adversarial Network (GAN) method is proposed for generating virtual speakers with different emotions(GANLTB) . This method is based on the GAN network architecture, where the generator uses a Transformer model to process speech and image features, combined with emotional condition information and latent space vectors, to generate voice and images with specified emotions. The discriminator is used to assess the authenticity of the generated results and provide gradient signals to guide the training of the generator. By introducing bicubic interpolation, the image quality of the virtual speaker generation is further enhanced, making the facial details of the virtual speaker clearer and the expressions more natural and vivid. The method was validated using the CREMA-D dataset, a diverse emotional dataset, through subjective evaluation and objective indicators to assess the emotional expression ability and quality of the generated speech and images. Experimental results show that the method can generate virtual speakers with diverse and realistic emotional expressions. Compared to other advanced methods currently available, the proposed method is clearer in details such as fluency and realism, bringing a better sense of reality.

Foundation Support

国家自然科学基金资助项目(62341209)
中央高校基本科研业务费专项资金资助项目(31920230054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0559
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 8

Publish History

[2024-01-24] Accepted Paper

Cite This Article

李帅帅, 何向真, 张跃洲, 等. 融合多情感的语音驱动虚拟说话人生成方法 [J]. 计算机应用研究, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0559. (Li Shuaishuai, He Xiangzhen, Zhang Yuezhou, et al. Multi-emotion driven virtual speaker generation method integrating mul-tiple emotions [J]. Application Research of Computers, 2024, 41 (8). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0559. )

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.

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