Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion

14 September 2023

Papers citing "Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion"

8 / 8 papers shown

Title
The VoicePrivacy 2022 Challenge Evaluation Plan N. Tomashenko Xin Wang Xiaoxiao Miao Hubert Nourtel Pierre Champion Massimiliano Todisco Emmanuel Vincent Nicholas W. D. Evans Junichi Yamagishi J. Bonastre 58 63 0 23 Mar 2022
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition Shoki Sakamoto Akira Taniguchi T. Taniguchi Hirokazu Kameoka BDL 43 5 0 10 Aug 2021
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li A. Zare N. Mesgarani 76 101 0 21 Jul 2021
Emotional Voice Conversion: Theory, Databases and ESD Kun Zhou Berrak Sisman Rui Liu Haizhou Li 103 175 0 31 May 2021
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong Jaehyeon Kim Jaekyoung Bae 177 1,931 0 12 Oct 2020
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep Learning Berrak Sisman Junichi Yamagishi Simon King Haizhou Li BDL 104 322 0 09 Aug 2020
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture Da-Yi Wu Yen-Hao Chen Hung-yi Lee 54 101 0 07 Jun 2020
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification Brecht Desplanques Jenthe Thienpondt Kris Demuynck 74 1,333 0 14 May 2020