@inproceedings{chang-hung-2020-preliminary,
title = "The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models",
author = "Chang, Li-chia and
Hung, Jeih-weih",
editor = "Wang, Jenq-Haur and
Lai, Ying-Hui",
booktitle = "Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)",
month = sep,
year = "2020",
address = "Taipei, Taiwan",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
url = "https://aclanthology.org/2020.rocling-1.14",
pages = "118--119",
}
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%0 Conference Proceedings
%T The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models
%A Chang, Li-chia
%A Hung, Jeih-weih
%Y Wang, Jenq-Haur
%Y Lai, Ying-Hui
%S Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
%D 2020
%8 September
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei, Taiwan
%F chang-hung-2020-preliminary
%U https://aclanthology.org/2020.rocling-1.14
%P 118-119
Markdown (Informal)
[The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models](https://aclanthology.org/2020.rocling-1.14) (Chang & Hung, ROCLING 2020)
ACL