App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 10

One-shot voice conversion integrating information perturbation and feature decoupling

Wang Guang1
Liu Zongze1
Dong Hao2
Jiang Yanji1
1. College of Software, Liaoning Technical University, Huludao Liaoning 125105, China
2. Suzhou Automotive Research Institute, Tsinghua University, Suzhou Jiangsu 215134, China
DOI: 10.19734/j.issn.1001-3695.2024.02.0034

Abstract

The characteristic of one-shot voice conversion is the ability to transform identity using only a single speech sample from the target speaker. However, the intricate interactions and dynamic variations of acoustic features pose challenges for existing methods to fully disentangle the speaker's timbre from other acoustic features, resulting in the leakage of the original speaker's timbre in the converted audio. To tackle this challenge, this paper proposed the IPFD-VC model to incorporate information perturbation and feature decoupling. The model initiated three perturbation operations to the voice signal through an information perturbation module in order to remove redundant information from input and the prosody encoder. Then it enabled to feed the processed signal into each encoders. The model employed a strategy of minimizing mutual information to further decouple the acoustic features, thereby diminishing their correlation with the speaker's timbre characteristics. The decoder and vocoder subsequently output the convert audio. The experiments showed that the IPFD-VC model achieved scores of 3.72 for voice naturalness and 3.68 for speaker similarity. In comparison to the advanced UUVC model, the model reduced the Mel-cepstral distortion by 0.26 dB. The IPFD-VC model effectively decouples acoustic features, captures the target speaker's timbre, preserves the source language content and rhythmic variations, and mitigates the risk of speaker timbre leakage.

Foundation Support

葫芦岛市科技计划项目(2023JH(1)4/02b)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.02.0034
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-06-20] Accepted Paper

Cite This Article

王光, 刘宗泽, 董浩, 等. 融合信息扰动与特征解耦的单样本语音转换 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0034. (Wang Guang, Liu Zongze, Dong Hao, et al. One-shot voice conversion integrating information perturbation and feature decoupling [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0034. )

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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