Transferring Source Style in Non-Parallel Voice Conversion - 代码天地

Transferring Source Style in Non-Parallel Voice Conversion

其他 2021-12-14 18:16:34 阅读次数: 0

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转载自blog.csdn.net/qq_40168949/article/details/113745406

Transferring Source Style in Non-Parallel Voice Conversion

Non-parallel Voice Conversion using Weighted Generative Adversarial Networks

Odessey2018:Average Modeling Approach to Voice Conversion with Non-Parallel Data

sub2019ins:A Vocoder-free WaveNet Voice Conversion with Non-Parallel Data

StarGAN-VC： non-parallel many-to-many voice conversion with StaGAN

语音合成论文优选：声音转换Non-Parallel Sequence-to-Sequence Voice Conversion with Disentangled Linguistic

F0-CONSISTENT MANY-TO-MANY NON-PARALLEL VOICE CONVERSION VIA CONDITIONAL AUTOENCODER

Cycle-consistent Adversarial Networks for Non-parallel Vocal Effort Based Speaking Style Conversion

2019ins---Fast Learning for Non-Parallel Many-to-Many Voice Conversion with Residual Star-GAN

2018icassp-Non-parallel voice conversion using variational autoencoders conditioned by phonetic PPGs

Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms

The Voice Conversion Challenge 2018

[论文笔记] Phonetic posteriorgrams for many-to-one voice conversion without parallel data training

Voice conversion with SI-DNN and KL divergence based mapping without parallel training data

2016 ICME:Phonetic posteriorgrams for many-to-one voice conversion without parallel data training

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Mellotron：Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

2019icas--Cross-lingual Voice Conversion with Bilingual Phonetic PosteriorGram and Average Modeling

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