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We introduce SPEAR-TTS, a multi-speaker text-to-speech (TTS) system that can be trained with minimal supervision.
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 · 1904
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Training with quantization noise for extreme model compression
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Herve Jegou, and Armand Joulin. 2020 · 2004
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A comparison of pivot methods for phrase-based statistical machine translation
Masao Utiyama and Hitoshi Isahara. 2007 · 2007
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy. 2015 · 2015
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LibriSpeech: an asr corpus based on public domain audio books
Vassil Panayotov, Guoguo Chen, Daniel Povey, and Sanjeev Khudanpur. 2015 · 2015
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Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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The LJ speech dataset
Keith Ito and Linda Johnson. 2017 · 2017
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Listening while speaking: Speech chain by deep learning
Andros Tjandra, Sakriani Sakti, and Satoshi Nakamura. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Understanding back-translation at scale
Sergey Edunov, Myle Ott, Michael Auli, and David Grangier. 2018 · 2018
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Model compression via distillation and quantization
Antonio Polino, Razvan Pascanu, and Dan Alistarh. 2018 · 2018
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
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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, et al. 2018 · 2018
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Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals. 2018 · 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 RJ Skerry-Ryan. 2019 · 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 · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2020
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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 · 2020
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Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis
Jungil Kong, Jaehyeon Kim, and Jaekyoung Bae. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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DNSMOS: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors
Chandan KA Reddy, Vishak Gopal, and Ross Cutler. 2021 · 2021
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SoundStream: An end-to-end neural audio codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi. 2021 · 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 · 2022
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TorToiSe text-to-speech
James Betker. 2022 · 2022
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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 · 2022
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Towards unsupervised speech recognition and synthesis with quantized speech representation learning
Alexander H Liu, Tao Tu, Hung-yi Lee, and Lin-shan Lee. 2020 · 2020
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J Liu, et al. 2020 · 2020
Cited alongside, same era.
FastSpeech 2: Fast and high-quality end-to-end text to speech
Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu. 2020 · 2020
Cited alongside, same era.
W2V-Bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training
Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, and Yonghui Wu. 2021 · 2021
Cited alongside, same era.
Asvspoof 2021: Automatic speaker verification spoofing and countermeasures challenge evaluation plan
Héctor Delgado, Nicholas Evans, Tomi Kinnunen, Kong Aik Lee, Xuechen Liu, Andreas Nautsch, Jose Patino, Md Sahidullah, Massimiliano Todisco, Xin Wang, et al. 2021 · 2021
Cited alongside, same era.
The Zero Resource Speech Challenge 2021: Spoken language modelling
Ewan Dunbar, Mathieu Bernard, Nicolas Hamilakis, Tu Nguyen, Maureen de Seyssel, Patricia Rozé, Morgane Rivière, Eugene Kharitonov, and Emmanuel Dupoux. 2021 · 2021
Cited alongside, same era.
Guided-TTS: Text-to-speech with untranscribed speech
Heeseung Kim, Sungwon Kim, and Sungroh Yoon. 2021 · 2021
Cited alongside, same era.
YourTTS: Towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone
Edresson Casanova, Julian Weber, Christopher D Shulby, Arnaldo Candido Junior, Eren Gölge, and Moacir A Ponti. 2022 · 2022
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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, Jian Wu, Long Zhou, Shuo Ren, Yanmin Qian, Yao Qian, Jian Wu, Michael Zeng, Xiangzhan Yu, and Furu Wei. 2022 · 2022
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Text-free prosody-aware generative spoken language modeling
Eugene Kharitonov, Ann Lee, Adam Polyak, Yossi Adi, Jade Copet, Kushal Lakhotia, Tu Anh Nguyen, Morgane Riviere, Abdelrahman Mohamed, Emmanuel Dupoux, and Wei-Ning Hsu. 2022 · 2022
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Guided-TTS 2: A diffusion model for high-quality adaptive text-to-speech with untranscribed data
Sungwon Kim, Heeseung Kim, and Sungroh Yoon. 2022 · 2022
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Zero-shot voice conditioning for denoising diffusion TTS models
Alon Levkovitch, Eliya Nachmani, and Lior Wolf. 2022 · 2022
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Simple and effective unsupervised speech synthesis
Alexander H Liu, Cheng-I Jeff Lai, Wei-Ning Hsu, Michael Auli, Alexei Baevski, and James Glass. 2022 · 2022
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Generative spoken dialogue language modeling
Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, Yossi Adi, Wei-Ning Hsu, Ali Elkahky, Paden Tomasello, Robin Algayres, Benoit Sagot, Abdelrahman Mohamed, et al. 2022 · 2022
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Requirements and motivations of low-resource speech synthesis for language revitalization
Aidan Pine, Dan Wells, Nathan Brinklow, Patrick Littell, and Korin Richmond. 2022 · 2022
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Neural codec language models are zero-shot text to speech synthesizers
Chengyi Wang, Sanyuan Chen, Yu Wu, Ziqiang Zhang, Long Zhou, Shujie Liu, Zhuo Chen, Yanqing Liu, Huaming Wang, Jinyu Li, et al. 2023 · 2023
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