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原理篇

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Info-graphics

原理篇

應用篇

深度學習
模型RNN
詞向量
語音合成
語音辨識_infographic_中文版_OL-01.jpg
延伸閱讀
語音辨識
語意理解
語句生成
自然語言處理

延伸閱讀:

1.【深度學習】如果電腦有神經,可以教它做什麼?

https://reurl.cc/YlOb60

2. 遞歸神經網路(RNN)和長短期記憶模型(LSTM)的運作原理

https://reurl.cc/6gaMlb

 

3. 詞向量介紹

https://pse.is/L3JD5

4. 教電腦畫畫:初心者的生成式對抗網路(GAN)入門筆記

https://pse.is/JUXCQ

5. How to Keep Your Smart Assistant Voice Recordings Private

https://is.gd/7Cdyq7

進階閱讀:

1. 基於深度學習之語音增強技術 /曹昱、王緒翔 (2019) IEEE

Time-Domain Multi-modal Bone/air Conducted Speech Enhancement/Syu-Siang Wang, Yu Tsao (2019) IEEE

https://reurl.cc/ZOp50p

2. Recurrent Neural Network Based Language Model Personalization by Social Network Crowdsourcing

Hung-yi Lee (2013) INTERSPEECH

https://reurl.cc/Y1yryL

3. Experimental Study on Extreme Learning Machine Applications for Speech Enhancement / Chi-Chun Lee (2017) IEEE

https://reurl.cc/Mddepk

 

進階閱讀
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