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EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel
  and In-the-wild Data

EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data

14 September 2023
N. Prabhu
Bunlong Lay
Simon Welker
N. Lehmann-Willenbrock
Timo Gerkmann
    DiffM
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Papers citing "EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data"

11 / 11 papers shown
Title
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech
  Synthesis
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis
Haobin Tang
Xulong Zhang
Jianzong Wang
Ning Cheng
Jing Xiao
DiffM
67
24
0
01 Jun 2023
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label
  Guidance
EmoDiff: Intensity Controllable Emotional Text-to-Speech with Soft-Label Guidance
Yiwei Guo
Chenpeng Du
Xie Chen
K. Yu
DiffM
83
42
0
17 Nov 2022
An Overview of Affective Speech Synthesis and Conversion in the Deep
  Learning Era
An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era
Andreas Triantafyllopoulos
Björn W. Schuller
Gokcce .Iymen
M. Sezgin
Xiangheng He
...
Shuo Liu
Silvan Mertes
Elisabeth André
Ruibo Fu
Jianhua Tao
54
53
0
06 Oct 2022
Dawn of the transformer era in speech emotion recognition: closing the
  valence gap
Dawn of the transformer era in speech emotion recognition: closing the valence gap
Johannes Wagner
Andreas Triantafyllopoulos
H. Wierstorf
Maximilian Schmitt
Felix Burkhardt
F. Eyben
Björn W. Schuller
47
299
0
14 Mar 2022
Emotion Intensity and its Control for Emotional Voice Conversion
Emotion Intensity and its Control for Emotional Voice Conversion
Kun Zhou
Berrak Sisman
R. Rana
Björn W. Schuller
Haizhou Li
110
56
0
10 Jan 2022
Disentanglement of Emotional Style and Speaker Identity for Expressive
  Voice Conversion
Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion
Zongyang Du
Berrak Sisman
Kun Zhou
Haizhou Li
34
24
0
20 Oct 2021
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling
  Scheme
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Vadim Popov
Ivan Vovk
Vladimir Gogoryan
Tasnima Sadekova
Mikhail Kudinov
Jiansheng Wei
DiffM
BDL
83
129
0
28 Sep 2021
Emotional Voice Conversion: Theory, Databases and ESD
Emotional Voice Conversion: Theory, Databases and ESD
Kun Zhou
Berrak Sisman
Rui Liu
Haizhou Li
70
172
0
31 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov
Ivan Vovk
Vladimir Gogoryan
Tasnima Sadekova
Mikhail Kudinov
DiffM
86
526
0
13 May 2021
HiFi-GAN: Generative Adversarial Networks for Efficient and High
  Fidelity Speech Synthesis
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Jungil Kong
Jaehyeon Kim
Jaekyoung Bae
136
1,918
0
12 Oct 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
158
1,135
0
16 Jun 2020
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