Built on

D. B. Paul and J. Baker, “The design for the Wall Street Journal-based CSR corpus,” in Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York, February 23-26, 1992 , 1992
1992
Earlier work this paper cites.
J. J. Godfrey, E. C. Holliman, and J. McDaniel, “SWITCHBOARD: Telephone speech corpus for research and development,” in ICASSP , 1992
1992
Earlier work this paper cites.
J. L. Hintze and R. D. Nelson, “Violin plots: a box plot-density trace synergism,” The American Statistician , vol. 52, no. 2, pp. 181–184, 1998
1998
Earlier work this paper cites.
C. Cieri, D. Miller, and K. Walker, “The Fisher corpus: a resource for the next generations of speech-to-text.” in LREC , 2004
2004
Earlier work this paper cites.
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, “Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,” in ICML , 2006
2006
Earlier work this paper cites.
P. Taylor, “Text-to-Speech Synthesis,” in Cambridge university press , 2009
2009
Earlier work this paper cites.
S. King and V. Karaiskos, “The blizzard challenge 2013,” 2013
2013
Earlier work this paper cites.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: an ASR corpus based on public domain audio books,” in ICASSP , 2015
2015
Earlier work this paper cites.
K. Ito and L. Johnson, “The LJ Speech Dataset,” https://keithito.com/LJ-Speech-Dataset/ , 2017
2017
Earlier work this paper cites.
Munich Artificial Intelligence Laboratories GmbH, “The m-ailabs speech dataset,” https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/ , 2017
2017
Earlier work this paper cites.
W. Ping, K. Peng, A. Gibiansky, S. O. Arik, A. Kannan, S. Narang, J. Raiman, and J. Miller, “Deep voice 3: Scaling text-to-speech with convolutional sequence learning,” arXiv:1710.07654 , 2017
Original
2017
Earlier work this paper cites.

Similar

R. Prenger, R. Valle, and B. Catanzaro, “WaveGlow: A flow-based generative network for speech synthesis,” arXiv:1811.00002 , 2018
Original
2018
Cited alongside, same era.
Y. Jia, Y. Zhang, R. J. Weiss, Q. Wang, J. Shen, F. Ren, Z. Chen, P. Nguyen, R. Pang, I. L. Moreno et al. , “Transfer learning from speaker verification to multispeaker text-to-speech synthesis,” arXiv:1806.04558 , 2018
Original
2018
Cited alongside, same era.
H. Zen, V. Dang, R. Clark, Y. Zhang, R. J. Weiss, Y. Jia, Z. Chen, and Y. Wu, “LibriTTS: A corpus derived from LibriSpeech for text-to-speech,” arXiv:1904.02882 , 2019
Original
2019
Cited alongside, same era.
J. Yamagishi, C. Veaux, and K. MacDonald, “CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92),” 2019
2019
Cited alongside, same era.
J. Park, K. Zhao, K. Peng, and W. Ping, “Multi-speaker end-to-end speech synthesis,” arXiv:1907.04462 , 2019

Then

Z. Zeng, J. Wang, N. Cheng, and J. Xiao, “Melglow: Efficient waveform generative network based on location-variable convolution,” arXiv:2012.01684 , 2020
Original
2020
Later among the works it cites.
J. Kong, J. Kim, and J. Bae, “Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,” arXiv:2010.05646 , 2020
Original
2020
Later among the works it cites.
R. Valle, J. Li, R. Prenger, and B. Catanzaro, “Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens,” in ICASSP , 2020
2020
Later among the works it cites.
M. Chen, X. Tan, Y. Ren, J. Xu, H. Sun, S. Zhao, and T. Qin, “Multispeech: Multi-speaker text to speech with transformer,” arXiv:2006.04664 , 2020
Original
2020
Later among the works it cites.

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2021

Hi-Fi Multi-Speaker English TTS Dataset

Bakhturina, Evelina, Lavrukhin, Vitaly, Ginsburg, Boris et al.

Understand

This paper introduces a new multi-speaker English dataset for training text-to-speech models.

The dataset is based on LibriVox audiobooks and Project Gutenberg texts, both in the public domain.
The new dataset contains about 292 hours of speech from 10 speakers with at least 17 hours per speaker sampled at 44.1 kHz.
To select speech samples with high quality, we considered audio recordings with a signal bandwidth of at least 13 kHz and a signal-to-noise ratio (SNR) of at least 32 dB.

Built on

D. B. Paul and J. Baker, “The design for the Wall Street Journal-based CSR corpus,” in Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York, February 23-26, 1992 , 1992
1992
Earlier work this paper cites.
J. J. Godfrey, E. C. Holliman, and J. McDaniel, “SWITCHBOARD: Telephone speech corpus for research and development,” in ICASSP , 1992
1992
Earlier work this paper cites.
J. L. Hintze and R. D. Nelson, “Violin plots: a box plot-density trace synergism,” The American Statistician , vol. 52, no. 2, pp. 181–184, 1998
1998
Earlier work this paper cites.
C. Cieri, D. Miller, and K. Walker, “The Fisher corpus: a resource for the next generations of speech-to-text.” in LREC , 2004
2004
Earlier work this paper cites.
A. Graves, S. Fernández, F. Gomez, and J. Schmidhuber, “Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks,” in ICML , 2006
2006
Earlier work this paper cites.
P. Taylor, “Text-to-Speech Synthesis,” in Cambridge university press , 2009
2009
Earlier work this paper cites.
S. King and V. Karaiskos, “The blizzard challenge 2013,” 2013
2013
Earlier work this paper cites.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: an ASR corpus based on public domain audio books,” in ICASSP , 2015
2015
Earlier work this paper cites.
K. Ito and L. Johnson, “The LJ Speech Dataset,” https://keithito.com/LJ-Speech-Dataset/ , 2017
2017
Earlier work this paper cites.
Munich Artificial Intelligence Laboratories GmbH, “The m-ailabs speech dataset,” https://www.caito.de/2019/01/the-m-ailabs-speech-dataset/ , 2017
2017
Earlier work this paper cites.
W. Ping, K. Peng, A. Gibiansky, S. O. Arik, A. Kannan, S. Narang, J. Raiman, and J. Miller, “Deep voice 3: Scaling text-to-speech with convolutional sequence learning,” arXiv:1710.07654 , 2017
Original
2017
Earlier work this paper cites.

Similar

R. Prenger, R. Valle, and B. Catanzaro, “WaveGlow: A flow-based generative network for speech synthesis,” arXiv:1811.00002 , 2018
Original
2018
Cited alongside, same era.
Y. Jia, Y. Zhang, R. J. Weiss, Q. Wang, J. Shen, F. Ren, Z. Chen, P. Nguyen, R. Pang, I. L. Moreno et al. , “Transfer learning from speaker verification to multispeaker text-to-speech synthesis,” arXiv:1806.04558 , 2018
Original
2018
Cited alongside, same era.
H. Zen, V. Dang, R. Clark, Y. Zhang, R. J. Weiss, Y. Jia, Z. Chen, and Y. Wu, “LibriTTS: A corpus derived from LibriSpeech for text-to-speech,” arXiv:1904.02882 , 2019
Original
2019
Cited alongside, same era.
J. Yamagishi, C. Veaux, and K. MacDonald, “CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit (version 0.92),” 2019
2019
Cited alongside, same era.
J. Park, K. Zhao, K. Peng, and W. Ping, “Multi-speaker end-to-end speech synthesis,” arXiv:1907.04462 , 2019

Then

Z. Zeng, J. Wang, N. Cheng, and J. Xiao, “Melglow: Efficient waveform generative network based on location-variable convolution,” arXiv:2012.01684 , 2020
Original
2020
Later among the works it cites.
J. Kong, J. Kim, and J. Bae, “Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,” arXiv:2010.05646 , 2020
Original
2020
Later among the works it cites.
R. Valle, J. Li, R. Prenger, and B. Catanzaro, “Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens,” in ICASSP , 2020
2020
Later among the works it cites.
M. Chen, X. Tan, Y. Ren, J. Xu, H. Sun, S. Zhao, and T. Qin, “Multispeech: Multi-speaker text to speech with transformer,” arXiv:2006.04664 , 2020
Original
2020
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Original

2019

Cited alongside, same era.

R. Ardila, M. Branson, K. Davis, M. Henretty, M. Kohler, J. Meyer, R. Morais, L. Saunders, F. M. Tyers, and G. Weber, “Common voice: A massively-multilingual speech corpus,” arXiv:1912.06670 , 2019

Original

2019

Cited alongside, same era.

J. X. Koh, A. Mislan, K. Khoo, B. Ang, W. Ang, C. Ng, and Y. Tan, “Building the singapore english national speech corpus,” Malay , 2019

2019

Cited alongside, same era.

O. Kuchaiev, J. Li, H. Nguyen, O. Hrinchuk, R. Leary, B. Ginsburg, S. Kriman, S. Beliaev, V. Lavrukhin, J. Cook et al. , “Nemo: a toolkit for building ai applications using neural modules,” arXiv:1909.09577 , 2019

Original

2019

Cited alongside, same era.

G. Yang, S. Yang, K. Liu, P. Fang, W. Chen, and L. Xie, “Multi-band MelGAN: Faster waveform generation for high-quality text-to-speech,” arXiv:2005.05106 , 2020

Original

2020

Cited alongside, same era.

J. Kong, J. Kim, and J. Bae, “HiFi-GAN: Generative adversarial networks for efficient and high fidelity speech synthesis,” arXiv:2010.05646 , 2020

Original

2020

Cited alongside, same era.

S. Beliaev, Y. Rebryk, and B. Ginsburg, “Talknet: Fully-convolutional non-autoregressive speech synthesis model,” arXiv:2005.05514 , 2020

Original

2020

Cited alongside, same era.

“LibriVox - Free public domain audiobooks,” https://librivox.org/

Cited in the paper.

J. Kahn, M. Rivière, W. Zheng, E. Kharitonov, Q. Xu, P. E. Mazaré, J. Karadayi, V. Liptchinsky, R. Collobert, C. Fuegen, T. Likhomanenko, G. Synnaeve, A. Joulin, A. Mohamed, and E. Dupoux, “Libri-Light: A benchmark for ASR with limited or no supervision,” in ICASSP , 2020

2020

Later among the works it cites.

S. Kriman, S. Beliaev, B. Ginsburg, J. Huang, O. Kuchaiev, V. Lavrukhin, R. Leary, J. Li, and Y. Zhang, “Quartznet: Deep automatic speech recognition with 1d time-channel separable convolutions,” in ICASSP , 2020

2020

Later among the works it cites.

L. Kürzinger, D. Winkelbauer, L. Li, T. Watzel, and G. Rigoll, “CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition,” in Speech and Computer , A. Karpov and R. Potapova, Eds. Springer International Publishing, 2020

2020

Later among the works it cites.

A. Łańcucki, “FastPitch: Parallel text-to-speech with pitch prediction,” arXiv:2006.06873 , 2021

Original

2021

Closest in time.

M. Chen, X. Tan, B. Li, Y. Liu, T. Qin, S. Zhao, and T.-Y. Liu, “AdaSpeech: Adaptive text to speech for custom voice,” arXiv:2103.00993 , 2021

Original

2021

Closest in time.

Y. Zhang, E. Bakhturina, K. Gorman, and B. Ginsburg, “Nemo inverse text normalization: From development to production,” arXiv preprint arXiv:2104.05055 , 2021

Original

2021

Closest in time.

S. Majumdar, J. Balam, O. Hrinchuk, V. Lavrukhin, V. Noroozi, and B. Ginsburg, “Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition,” 2021

2021

Closest in time.