NeMo Inverse Text Normalization: From Development To Production

P. Taylor, “Text-to-Speech Synthesis,” 2009

2009

Earlier work this paper cites.

M. Mohri, Weighted Automata Algorithms . Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp. 213–254. [Online]. Available: https://doi.org/10.1007/978-3-642-01492-5_6

2009

Earlier work this paper cites.

R. Sproat, “Lightly supervised learning of text normalization: Russian number names,” in IEEE Spoken Language Technology Workshop , 2010

2010

Earlier work this paper cites.

M. Shugrina, “Formatting time-aligned ASR transcripts for readability,” in Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics , 2010

2010

Earlier work this paper cites.

P. Ebden and R. Sproat, “The Kestrel TTS text normalization system,” Natural Language Engineering , vol. 21, 2015

2015

Earlier work this paper cites.

A. Gutkin, L. Ha, M. Jansche, K. Pipatsrisawat, and R. Sproat, “Tts for low resource languages: A bangla synthesizer,” in 10th Language Resources and Evaluation Conference , 2016

2016

Earlier work this paper cites.

K. Gorman, “Pynini: A Python library for weighted finite-state grammar compilation,” in Proceedings of the SIGFSM Workshop on Statistical NLP and Weighted Automata , 2016

2016

Cited alongside, same era.

R. Sproat and N. Jaitly, “An RNN model of text normalization,” in INTERSPEECH , 2017

2017

Cited alongside, same era.

E. Pusateri, B. Ambati, E. Brooks, O. Platek, D. McAllaster, and V. Nagesha, “A mostly data-driven approach to inverse text normalization,” in INTERSPEECH , 2017

2017

Cited alongside, same era.

I. Alphonso, N. Kibre, and T. Anastasakos, “Ranking approach to compact text representation for personal digital assistants,” in 2018 IEEE Spoken Language Technology Workshop (SLT) , 2018

2018

Cited alongside, same era.

H. Zhang, R. Sproat, A. H. Ng, F. Stahlberg, X. Peng, K. Gorman, and B. Roark, “Neural models of text normalization for speech applications,” Computational Linguistics , vol. 45, 2019

C. Mansfield, M. Sun, Y. Liu, A. Gandhe, and B. Hoffmeister, “Neural text normalization with subword units,” in Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers) , 2019

2019

Later among the works it cites.

S. Pramanik and A. Hussain, “Text normalization using memory augmented neural networks,” Speech Communication , vol. 109, pp. 15–23, 2019

2019

Later among the works it cites.

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

Later among the works it cites.

M. Ihori, A. Takashima, and R. Masumura, “Large-context pointer-generator networks for spoken-to-written style conversion,” in ICASSP , 2020

2020

Later among the works it cites.