Hayato Shibata, Mingxin Zhang, Takahiro Shinozaki. Unsupervised Acoustic-to-Articulatory Inversion Neural Network Learning Based on Deterministic Policy Gradient. In IEEE Spoken Language Technology Workshop, SLT 2021, Shenzhen, China, January 19-22, 2021. pages 530-537, IEEE, 2021. [doi]
@inproceedings{ShibataZS21,
title = {Unsupervised Acoustic-to-Articulatory Inversion Neural Network Learning Based on Deterministic Policy Gradient},
author = {Hayato Shibata and Mingxin Zhang and Takahiro Shinozaki},
year = {2021},
doi = {10.1109/SLT48900.2021.9383554},
url = {https://doi.org/10.1109/SLT48900.2021.9383554},
researchr = {https://researchr.org/publication/ShibataZS21},
cites = {0},
citedby = {0},
pages = {530-537},
booktitle = {IEEE Spoken Language Technology Workshop, SLT 2021, Shenzhen, China, January 19-22, 2021},
publisher = {IEEE},
isbn = {978-1-7281-7066-4},
}