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  4. Cited By
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN
  over Phoneme Posteriorgram Sequences

Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences

9 August 2018
Cheng-chieh Yeh
Po-Chun Hsu
Ju-Chieh Chou
Hung-yi Lee
Lin-Shan Lee
ArXiv (abs)PDFHTML

Papers citing "Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences"

8 / 8 papers shown
Parallel Synthesis for Autoregressive Speech Generation
Parallel Synthesis for Autoregressive Speech GenerationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Po-Chun Hsu
Da-Rong Liu
Andy T. Liu
Hung-yi Lee
391
6
0
25 Apr 2022
Enhanced exemplar autoencoder with cycle consistency loss in any-to-one
  voice conversion
Enhanced exemplar autoencoder with cycle consistency loss in any-to-one voice conversion
Weida Liang
Lantian Li
Wenqiang Du
Dong Wang
349
0
0
08 Apr 2022
Significance of Data Augmentation for Improving Cleft Lip and Palate
  Speech Recognition
Significance of Data Augmentation for Improving Cleft Lip and Palate Speech Recognition
Protima Nomo Sudro
Rohan Kumar Das
R. Sinha
S. M. I. S. R. Mahadeva Prasanna
196
10
0
02 Oct 2021
An Adaptive Learning based Generative Adversarial Network for One-To-One
  Voice Conversion
An Adaptive Learning based Generative Adversarial Network for One-To-One Voice ConversionIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Sandipan Dhar
N. D. Jana
Swagatam Das
178
24
0
25 Apr 2021
Assem-VC: Realistic Voice Conversion by Assembling Modern Speech
  Synthesis Techniques
Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis TechniquesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Kang-Wook Kim
Seung-won Park
Junhyeok Lee
Myun-chul Joe
281
29
0
02 Apr 2021
An Overview of Voice Conversion and its Challenges: From Statistical
  Modeling to Deep Learning
An Overview of Voice Conversion and its Challenges: From Statistical Modeling to Deep LearningIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2020
Berrak Sisman
Junichi Yamagishi
Simon King
Haizhou Li
BDL
643
413
0
09 Aug 2020
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice
  Conversion without Parallel Data
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data
Seung-won Park
Doo-young Kim
Myun-chul Joe
201
45
0
07 May 2020
Bootstrapping non-parallel voice conversion from speaker-adaptive
  text-to-speech
Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speechAutomatic Speech Recognition & Understanding (ASRU), 2019
Hieu-Thi Luong
Junichi Yamagishi
191
18
0
14 Sep 2019
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