基於深度聲學模型其狀態精確度最大化之強健語音特徵擷取的初步研究 (The Preliminary Study of Robust Speech Feature Extraction based on Maximizing the Accuracy of States in Deep Acoustic Models)

Li-Chia Chang, Jeih-weih Hung

Anthology ID:
2020.ijclclp-2.6
Volume:
International Journal of Computational Linguistics & Chinese Language Processing, Volume 25, Number 2, December 2020
Month:
December
Year:
2020
Address:
Taipei, Taiwan
Editors:
Lung-Hao Lee, Kuan-Yu Chen
Venue:
IJCLCLP
SIG:
Publisher:
Association for Computational Linguistics and Chinese Language Processing
Note:
Pages:
Language:
Chinese
URL:
https://aclanthology.org/2020.ijclclp-2.6
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Cite (ACL):
Li-Chia Chang and Jeih-weih Hung. 2020. 基於深度聲學模型其狀態精確度最大化之強健語音特徵擷取的初步研究 (The Preliminary Study of Robust Speech Feature Extraction based on Maximizing the Accuracy of States in Deep Acoustic Models). International Journal of Computational Linguistics and Chinese Language Processing, 25(2).
Cite (Informal):
基於深度聲學模型其狀態精確度最大化之強健語音特徵擷取的初步研究 (The Preliminary Study of Robust Speech Feature Extraction based on Maximizing the Accuracy of States in Deep Acoustic Models) (Chang & Hung, IJCLCLP 2020)
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