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We introduce a language modeling approach for text to speech synthesis (TTS).
The kaldi speech recognition toolkit
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al · 2011
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Librispeech: an asr corpus based on public domain audio books
Vassil Panayotov, Guoguo Chen, Daniel Povey, and Sanjeev Khudanpur · 2015
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Wavenet: A generative model for raw audio
Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W. Senior, and Koray Kavukcuoglu · 2016
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Superseded-cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit
Christophe Veaux, Junichi Yamagishi, Kirsten MacDonald, et al · 2016
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Neural discrete representation learning
Aäron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2017
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The emotional voices database: Towards controlling the emotion dimension in voice generation systems
Adaeze Adigwe, Noé Tits, Kevin El Haddad, Sarah Ostadabbas, and Thierry Dutoit · 2018
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Neural voice cloning with a few samples
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, and Yanqi Zhou · 2018
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Exploring the encoding layer and loss function in end-to-end speaker and language recognition system
Weicheng Cai, Jinkun Chen, and Ming Li · 2018
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Semi-supervised training for improving data efficiency in end-to-end speech synthesis
Yu-An Chung, Yuxuan Wang, Wei-Ning Hsu, Yu Zhang, and R. J. Skerry-Ryan · 2018
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Transfer learning from speaker verification to multispeaker text-to-speech synthesis
Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio Lopez-Moreno, and Yonghui Wu · 2018
Earlier work this paper cites.
Natural TTS synthesis by conditioning wavenet on MEL spectrogram predictions
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, RJ-Skerrv Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, and Yonghui Wu · 2018
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Sample efficient adaptive text-to-speech
Yutian Chen, Yannis M. Assael, Brendan Shillingford, David Budden, Scott E. Reed, Heiga Zen, Quan Wang, Luis C. Cobo, Andrew Trask, Ben Laurie, Çaglar Gülçehre, Aäron van den Oord, Oriol Vinyals, and Nando de Freitas · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Neural speech synthesis with transformer network
Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, and Ming Liu · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Waveglow: A flow-based generative network for speech synthesis
Ryan Prenger, Rafael Valle, and Bryan Catanzaro · 2019
Cited alongside, same era.
Fastspeech: Fast, robust and controllable text to speech
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu · 2019
Cited alongside, same era.
VQVAE unsupervised unit discovery and multi-scale code2spec inverter for zerospeech challenge 2019
Andros Tjandra, Berrak Sisman, Mingyang Zhang, Sakriani Sakti, Haizhou Li, and Satoshi Nakamura · 2019
Cited alongside, same era.
Understanding and improving layer normalization
Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, and Junyang Lin · 2019
Cited alongside, same era.
Libritts: A corpus derived from librispeech for text-to-speech
Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu · 2019
Cited alongside, same era.
Grad-tts: A diffusion probabilistic model for text-to-speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, and Mikhail A. Kudinov · 2021
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A survey on neural speech synthesis
Xu Tan, Tao Qin, Frank K. Soong, and Tie-Yan Liu · 2021
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Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing
Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, et al · 2022
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A 3 {}^{\mbox{3}} t: Alignment-aware acoustic and text pretraining for speech synthesis and editing
He Bai, Renjie Zheng, Junkun Chen, Mingbo Ma, Xintong Li, and Liang Huang · 2022
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Audiolm: a language modeling approach to audio generation
Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matthew Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, and Neil Zeghidour · 2022
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
Libri-light: A benchmark for asr with limited or no supervision
Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, et al · 2020
Cited alongside, same era.
Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis
Jungil Kong, Jaehyeon Kim, and Jaekyoung Bae · 2020
Cited alongside, same era.
Spoken content and voice factorization for few-shot speaker adaptation
Tao Wang, Jianhua Tao, Ruibo Fu, Jiangyan Yi, Zhengqi Wen, and Rongxiu Zhong · 2020
Cited alongside, same era.
Adaspeech: Adaptive text to speech for custom voice
Mingjian Chen, Xu Tan, Bohan Li, Yanqing Liu, Tao Qin, Sheng Zhao, and Tie-Yan Liu · 2021
Cited alongside, same era.
Hubert: Self-supervised speech representation learning by masked prediction of hidden units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed · 2021
Cited alongside, same era.
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech
Jaehyeon Kim, Jungil Kong, and Juhee Son · 2021
Cited alongside, same era.
Later among the works it cites.
Wavlm: Large-scale self-supervised pre-training for full stack speech processing
Sanyuan Chen, Chengyi Wang, Zhengyang Chen, Yu Wu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, Xiong Xiao, et al · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel · 2022
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High fidelity neural audio compression
Alexandre Défossez, Jade Copet, Gabriel Synnaeve, and Yossi Adi · 2022
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VQTTS: high-fidelity text-to-speech synthesis with self-supervised VQ acoustic feature
Chenpeng Du, Yiwei Guo, Xie Chen, and Kai Yu · 2022
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Meta-tts: Meta-learning for few-shot speaker adaptive text-to-speech
Sung-Feng Huang, Chyi-Jiunn Lin, Da-Rong Liu, Yi-Chen Chen, and Hung-yi Lee · 2022
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Any-speaker adaptive text-to-speech synthesis with diffusion models
Minki Kang, Dongchan Min, and Sung Ju Hwang · 2022
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Guided-tts: A diffusion model for text-to-speech via classifier guidance
Heeseung Kim, Sungwon Kim, and Sungroh Yoon · 2022
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Delightfultts 2: End-to-end speech synthesis with adversarial vector-quantized auto-encoders
Yanqing Liu, Ruiqing Xue, Lei He, Xu Tan, and Sheng Zhao · 2022
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Adaspeech 4: Adaptive text to speech in zero-shot scenarios
Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, and Tie-Yan Liu · 2022
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Soundstream: An end-to-end neural audio codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi · 2022
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