1 |
Adda, G., Adda-Decker, M., Gauvain, J. L., & Lamel, L. (1997). Text normalization and speech recognition in French. Fifth European Conference on Speech Communication and Technology.
|
2 |
Adda-Decker, M. (2001). Towards multilingual interoperability in automatic speech recognition. Speech Communication, 35(1-2), 5-20.
DOI
|
3 |
Adda-Decker, M., Adda, G., Gauvain, J. L., & Lamel, L. (1998). On the use of speech and text corpora for speech recognition in French. First International Conference on Language Resources and Evaluation. Granada, Spain.
|
4 |
Arik, S. O., Chrzanowski, M., Coates, A., Diamos, G., Gibiansky, A., Kang, Y., Li, X., Miller, J., Ng, A., Raiman, J., Sengupta, S., & Shoeybi, M. (2017). Deep voice: Real-time neural text-to-speech. Retrieved https://arxiv.org/abs/1702.07825 arXiv preprint arXiv: 1702.07825.on September 27, 2018.
|
5 |
Aw, A., Zhang, M., Xiao, J., & Su, J. (2006). A phrase-based statistical model for SMS text normalization. Proceedings of the COLING/ACL (pp. 33-40). Sydney, Austrailia.
|
6 |
Bigi, B. (2011). A multilingual text normalization approach. Language and Technology Conference (pp. 515-526). Cham, Switzerland.
|
7 |
Choi, Y., Jung, Y., Kim, Y., Suh, Y., & Kim, H. (2018). An end-to-end synthesis method for Korean text-to-speech systems. Phonetics and Speech Sciences, 10(1), 39-48.
|
8 |
Ebden, P., & Sproat, R. (2015). The Kestrel TTS text normalization system. Natural Language Engineering, 21(3), 333-353.
DOI
|
9 |
Eisenstein, J. (2013). What to do about bad language on the internet. Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language technologies (pp. 359-369).
|
10 |
Festvox. (2000) Retrieved from http://festvox.org/nsw on September 27, 2018.
|
11 |
Flint, E., Ford, E., Thomas, O., Caines, A., & Buttery, P. (2017). A text normalisation system for non-standard English words. Proceedings of the 3rd Workshop on Noisy User-Generated Text (pp. 107-115).
|
12 |
Han, B., & Baldwin, T. (2011). Lexical normalisation of short text messages: Makn sens a# twitter. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies-Volume 1 (pp. 368-378).
|
13 |
Kim, S. (2017). Corpus-based evaluation of Chinese text normalization. 2017 20th Conference of the Oriental Chapter of the International Coordinating Committee on Speech Databases and Speech I/O Systems and Assessment (O-COCOSDA) (pp. 1-4). Seoul, Korea.
|
14 |
Moore, S., Buchholz, S., & Korhonen, A. (2010). Annotating the Enron Email Corpus with Number Senses. Seventh International Conference on Language Resources and Evaluation.
|
15 |
Schlippe, T., Zhu, C., Lemcke, D., & Schultz, T. (2013). Statistical machine translation based text normalization with crowdsourcing. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 8406-8410). Vancouver, Canada.
|
16 |
Sproat, R., & Hall, K. (2014). Applications of maximum entropy rankers to problems in spoken language processing. Fifteenth Annual Conference of the International Speech Communication Association.
|
17 |
Sproat, R., & Jaitly, N. (2016). RNN Approaches to text normalization: A challenge. Retrieved https://arxiv.org/abs/1611.00068 on September 27, 2018
|
18 |
Sproat, R., Black, A. W., Chen, S., Kumar, S., Ostendorf, M., & Richards, C. (2001). Normalization of non-standard words. Computer Speech & Language, 15(3), 287-333.
DOI
|
19 |
Wang, Y., Skerry-Ryan, R. J., Stanton, D., Wu, Y., Weiss, R. J., Jaitly, N., Yang, Z., Xiao, Y., Chen, Z., Bengio, S., Le, Q., Agiomyrgiannakis, Y., Clark, R., & Saurous, R. A. (2017). TACOTRON: TOWARDS END-TO-END SPEECH SYNTacotron: Towards end -to-end speech synthesis. Retrieved https://arxiv.org/abs/1703.10135 on September 27, 2018.
|
20 |
Yvon, F., de Mareuil, P. B., d'Alessandro, C., Auberge, V., Bagein, M., Bailly, G., Bechet, F., Foukia, S., Goldman, J. F., Keller, E., O'Shaughnessy, D., Pagel, V., Sannier, F., Veronis, J., Zellner, B.. (1998). Objective evaluation of grapheme to phoneme conversion for text-to-speech synthesis in French. Computer Speech & Language, 12(4), 393-410.
DOI
|
21 |
Kim, S. (2018). A knowledge-based pronunciation generation system for French. Phonetics and Speech Sciences, 10(1), 49-55.
|
22 |
Zhou, T., Dong, Y., Huang, D., Liu, W., & Wang, H. (2008). A three-stage text normalization strategy for Mandarin text-to-speech systems. 2008 6th International Symposium on Chinese Spoken Language Processing (pp. 1-4). Kunming, China.
|