多樣訊雜比之訓練語料於降噪自動編碼器其語音強化功能之初步研究 (A Preliminary Study of Various SNR-level Training Data in the Denoising Auto-encoder (DAE) Technique for Speech Enhancement) [In Chinese]

Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, Jeih-weih Hung

Anthology ID:
O17-1009
Volume:
Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
101–113
Language:
URL:
https://aclanthology.org/O17-1009
DOI:
Bibkey:
Cite (ACL):
Shih-Kuang Lee, Syu-Siang Wang, Yu Tsao, and Jeih-weih Hung. 2017. 多樣訊雜比之訓練語料於降噪自動編碼器其語音強化功能之初步研究 (A Preliminary Study of Various SNR-level Training Data in the Denoising Auto-encoder (DAE) Technique for Speech Enhancement) [In Chinese]. In Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017), pages 101–113, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
多樣訊雜比之訓練語料於降噪自動編碼器其語音強化功能之初步研究 (A Preliminary Study of Various SNR-level Training Data in the Denoising Auto-encoder (DAE) Technique for Speech Enhancement) [In Chinese] (Lee et al., ROCLING 2017)
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