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ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion

5 November 2018
Hirokazu Kameoka
Kou Tanaka
Damian Kwaśny
Takuhiro Kaneko
Nobukatsu Hojo
ArXivPDFHTML

Papers citing "ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion"

10 / 10 papers shown
Title
Two-stage training method for Japanese electrolaryngeal speech
  enhancement based on sequence-to-sequence voice conversion
Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion
D. Ma
Lester Phillip Violeta
Kazuhiro Kobayashi
T. Toda
29
6
0
19 Oct 2022
Towards Relatable Explainable AI with the Perceptual Process
Towards Relatable Explainable AI with the Perceptual Process
Wencan Zhang
Brian Y. Lim
AAML
XAI
25
62
0
28 Dec 2021
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in
  Frames
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
Takuhiro Kaneko
Hirokazu Kameoka
Kou Tanaka
Nobukatsu Hojo
38
57
0
25 Feb 2021
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised
  Discrete Speech Representations
Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
Wen-Chin Huang
Yi-Chiao Wu
Tomoki Hayashi
T. Toda
BDL
52
37
0
23 Oct 2020
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 Learning
Berrak Sisman
Junichi Yamagishi
Simon King
Haizhou Li
BDL
41
318
0
09 Aug 2020
Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Pretraining Techniques for Sequence-to-Sequence Voice Conversion
Wen-Chin Huang
Tomoki Hayashi
Yi-Chiao Wu
Hirokazu Kameoka
T. Toda
27
38
0
07 Aug 2020
Many-to-Many Voice Transformer Network
Many-to-Many Voice Transformer Network
Hirokazu Kameoka
Wen-Chin Huang
Kou Tanaka
Takuhiro Kaneko
Nobukatsu Hojo
T. Toda
ViT
30
30
0
18 May 2020
Investigation of F0 conditioning and Fully Convolutional Networks in
  Variational Autoencoder based Voice Conversion
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Yi-Chiao Wu
Chen-Chou Lo
Patrick Lumban Tobing
Tomoki Hayashi
Kazuhiro Kobayashi
T. Toda
Yu Tsao
H. Wang
DRL
21
13
0
02 May 2019
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and
  Context Preservation Mechanisms
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms
Kou Tanaka
Hirokazu Kameoka
Takuhiro Kaneko
Nobukatsu Hojo
17
111
0
09 Nov 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,929
0
17 Aug 2015
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