1. Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks;van Esch;INTERSPEECH,2016
2. Text-to-Speech Synthesis;Taylor,2009
3. Multitask Sequence-to-Sequence Models for Grapheme-to-Phoneme Conversion;Milde;INTERSPEECH,2017
4. K. Rao, F. Peng, H. Sak, F. Beaufays, Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks, in: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2015, pp. 4225–4229.
5. Carnegie Mellon University (CMU) Pronouncing Dictionary. URL http://www.speech.cs.cmu.edu/cgi-bin/cmudict