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2002.03788
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Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior
6 February 2020
Guangzhi Sun
Yu Zhang
Ron J. Weiss
Yuan Cao
Heiga Zen
Andrew Rosenberg
Bhuvana Ramabhadran
Yonghui Wu
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Papers citing
"Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior"
10 / 60 papers shown
Title
End-to-End Text-to-Speech using Latent Duration based on VQ-VAE
Yusuke Yasuda
Xin Wang
Junichi Yamagishi
13
16
0
19 Oct 2020
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis
Yukiya Hono
Kazuna Tsuboi
Kei Sawada
Kei Hashimoto
Keiichiro Oura
Yoshihiko Nankaku
K. Tokuda
BDL
11
24
0
17 Sep 2020
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Zhen Zeng
Jianzong Wang
Ning Cheng
Jing Xiao
11
8
0
13 Aug 2020
Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS
Rui Liu
Berrak Sisman
F. Bao
Guanglai Gao
Haizhou Li
9
17
0
11 Aug 2020
Expressive TTS Training with Frame and Style Reconstruction Loss
Rui Liu
Berrak Sisman
Guanglai Gao
Haizhou Li
24
73
0
04 Aug 2020
Exploiting Deep Sentential Context for Expressive End-to-End Speech Synthesis
Fengyu Yang
Shan Yang
Qinghua Wu
Yujun Wang
Lei Xie
11
5
0
03 Aug 2020
Pitchtron: Towards audiobook generation from ordinary people's voices
Sunghee Jung
Hoi-Rim Kim
11
5
0
21 May 2020
Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding
Seungwoo Choi
Seungju Han
Dongyoung Kim
S. Ha
24
65
0
18 May 2020
Semi-supervised Learning for Multi-speaker Text-to-speech Synthesis Using Discrete Speech Representation
Tao Tu
Yuan-Jui Chen
Alexander H. Liu
Hung-yi Lee
25
7
0
16 May 2020
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation
A. Laptev
Roman Korostik
A. Svischev
A. Andrusenko
Ivan Medennikov
S. Rybin
16
61
0
14 May 2020
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