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A Deep Learning-Based Approach to Non-Intrusive Objective Speech Intelligibility Estimation

机译：基于深度学习的非侵入性目标语音可懂度估算方法

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Deokgyu YUN; Hannah LEE; Seung Ho CHOI;
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年度 2018
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1. A Deep Learning-Based Approach to Non-Intrusive Objective Speech Intelligibility Estimation [J] . Deokgyu YUN, Hannah LEE, Seung Ho CHOI IEICE transactions on information and systems . 2018,第4期

机译：基于深度学习的非侵入式目标语音清晰度评估方法
2. A Non-Intrusive Speech Intelligibility Estimation Method Based on Deep Learning Using Autoencoder Features [J] . Yoonhee KIM, Deokgyu YUN, Hannah LEE, IEICE transactions on information and systems . 2020,第3期

机译：基于AutoEncoder功能的深度学习的非侵入式语音智能估算方法
3. Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients [J] . Lai Ying-Hui, Tsao Yu, Lu Xugang, Ear and hearing. . 2018,第4期

机译：基于深度学习的降噪方法，提高耳蜗植入收件人的语音清晰度
4. A Deep Learning-Based Time-Domain Approach for Non-Intrusive Speech Quality Assessment [C] . Xupeng Jia, Dongmei Li Asia-Pacific Signal and Information Processing Association Annual Summit and Conference . 2020

机译：基于深度学习的非侵入性语音质量评估的时域方法
5. Data-Driven Non-Intrusive Speech Quality and Intelligibility Assessment [D] . Dong, Xuan. 2021

机译：数据驱动的非侵入式语音质量和可智能性评估
6. The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility [O] . Thomas Bentsen, Tobias May, Abigail A. Kressner, 2012

机译：在计算语音隔离中将深度神经网络架构与理想比率掩码估计相结合的好处，可以提高语音清晰度
7. A Non-Intrusive Speech Intelligibility Estimation Method Based on Deep Learning Using Autoencoder Features [O] . Yoonhee KIM, Deokgyu YUN, Hannah LEE, 2020

机译：基于AutoEncoder功能的深度学习的非侵入式语音智能估算方法

A Deep Learning-Based Approach to Non-Intrusive Objective Speech Intelligibility Estimation

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