Speech Style Conversion Technology Based on StarGAN-VC
Based on the Star Generative Adversary Networks-Voice Conversion(StarGAN-VC)model,this paper studies an advanced voice style conversion technology,aiming at achieving efficient conversion of voice signals.Firstly,the basic principle of voice conversion method based on StarGAN-VC is expounded in detail.Secondly,the methods of feature extraction and fundamental frequency conversion and the mathematical principle of StarGAN-VC model are deeply studied.Finally,the performance of this method is verified by experiments on VCC2018 data sets.The experimental results show that this method has achieved satisfactory results in spectral envelope similarity and fundamental frequency accuracy.
deep learninglanguage style conversionStar Generative Adversarial Networks-Voice Conversion(StarGAN-VC)modelspectral analysis
NETL
NSTL
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