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Creating Personalized Synthetic Voices from Articulation Impaired Speech
  Using Augmented Reconstruction Loss

Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss

8 January 2024
Yusheng Tian
Jingyu Li
Tan Lee
ArXivPDFHTML

Papers citing "Creating Personalized Synthetic Voices from Articulation Impaired Speech Using Augmented Reconstruction Loss"

4 / 4 papers shown
Title
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
108
1,918
0
12 Oct 2020
Detecting and analysing spontaneous oral cancer speech in the wild
Detecting and analysing spontaneous oral cancer speech in the wild
B. Halpern
Rob van Son
M. V. D. Brekel
O. Scharenborg
31
9
0
28 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
84
979
0
16 Jul 2020
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
125
1,419
0
24 Mar 2018
1