Li-chia Chang, Jeih-Weih Hung. The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models. In Jenq-Haur Wang, Ying-Hui Lai, editors, Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing, ROCLING 2020, Taipei, Taiwan, September 24-26, 2020. pages 118-119, The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2020. [doi]
@inproceedings{ChangH20-7,
title = {The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models},
author = {Li-chia Chang and Jeih-Weih Hung},
year = {2020},
url = {https://aclanthology.org/2020.rocling-1.14},
researchr = {https://researchr.org/publication/ChangH20-7},
cites = {0},
citedby = {0},
pages = {118-119},
booktitle = {Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing, ROCLING 2020, Taipei, Taiwan, September 24-26, 2020},
editor = {Jenq-Haur Wang and Ying-Hui Lai},
publisher = {The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)},
}