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Scaling text-to-speech (TTS) to large-scale, multi-speaker, and in-the-wild datasets is important to capture the diversity in human speech such as speaker identities, prosodies, and styles (e.g., singing).
Text-to-speech synthesis
Paul Taylor · 2009
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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 Senior, and Koray Kavukcuoglu · 2016
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Attention-based lstm for aspect-level sentiment classification
Yequan Wang, Minlie Huang, Xiaoyan Zhu, and Li Zhao · 2016
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Superseded-CSTK VCTK corpus: English multi-speaker corpus for CSTK voice cloning toolkit
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The LJ speech dataset
Keith Ito · 2017
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Neural discrete representation learning
Aaron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2017
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Attention is all you need
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Natural TTS synthesis by conditioning WaveNet on mel spectrogram predictions
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Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Yuxuan Wang, Daisy Stanton, Yu Zhang, RJ Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, and Rif A Saurous · 2018
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Film: Visual reasoning with a general conditioning layer
Ethan Perez, Florian Strub, Harm De Vries, Vincent Dumoulin, and Aaron Courville · 2018
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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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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
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Generating diverse high-fidelity images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals · 2019
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LPCNet: Improving neural speech synthesis through linear prediction
Jean-Marc Valin and Jan Skoglund · 2019
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Language models are unsupervised multitask learners
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Token-level ensemble distillation for grapheme-to-phoneme conversion
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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
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Language models are few-shot learners
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Score-based generative modeling through stochastic differential equations
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MLS: A large-scale multilingual dataset for speech research
Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, and Ronan Collobert · 2020
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Libri-light: A benchmark for asr with limited or no supervision
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NaturalSpeech: End-to-end text to speech synthesis with human-level quality
Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, et al · 2022
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High fidelity neural audio compression
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Audiolm: a language modeling approach to audio generation
Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matt Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, and Neil Zeghidour · 2022
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DiffSinger: Singing voice synthesis via shallow diffusion mechanism
Jinglin Liu, Chengxi Li, Yi Ren, Feiyang Chen, and Zhou Zhao · 2022
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Xu Tan, Tao Qin, Frank Soong, and Tie-Yan Liu · 2021
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Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu · 2021
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DelightfulTTS: The Microsoft speech synthesis system for Blizzard challenge 2021
Yanqing Liu, Zhihang Xu, Gang Wang, Kuan Chen, Bohan Li, Xu Tan, Jinzhu Li, Lei He, and Sheng Zhao · 2021
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Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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SoundStream: An end-to-end neural audio codec
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DiffWave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2021
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Retrievertts: Modeling decomposed factors for text-based speech insertion
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Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone
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Tts-portuguese corpus: a corpus for speech synthesis in brazilian portuguese
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Wavlm: Large-scale self-supervised pre-training for full stack speech processing
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Neural codec language models are zero-shot text to speech synthesizers
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Naturalspeech 2: Latent diffusion models are natural and zero-shot speech and singing synthesizers
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Comospeech: One-step speech and singing voice synthesis via consistency model
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