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        <namePart type="given">Shih-Kuang</namePart>
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    <name type="personal">
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%0 Conference Proceedings
%T 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]
%A Lee, Shih-Kuang
%A Wang, Syu-Siang
%A Tsao, Yu
%A Hung, Jeih-weih
%Y Ku, Lun-Wei
%Y Tsao, Yu
%S Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017)
%D 2017
%8 November
%I The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
%C Taipei, Taiwan
%F lee-etal-2017-duo
%U https://aclanthology.org/O17-1009
%P 101-113

Markdown (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]](https://aclanthology.org/O17-1009) (Lee et al., ROCLING 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] (Lee et al., ROCLING 2017)

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).