comments on"An Experimental Study on Speech Enhancement Based on Deep Neural Networks"(一)
這篇論文是由中科大語音與語言信息處理實驗室寫的，今年1月發表在IEEE Signal Processing Letters(Impact factor :1.67)算法 論文大體分爲兩個部分：語音加強的建模和基於TIMIT數據集的模型檢驗、對比網絡 論文的創新點/突破點：機器學習 ·提出了一個應用於語音加強的基於DNN的非線性迴歸模型；分佈式 ·使用了大量的訓練集（淺層神經網絡的劣勢）；函數 ·經
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相關文章
- 1. An Experimental Study on Speech Enhancement Based on Deep Neural Networks學習摘要
- 2. ISCA'18 Prediction based execution on Deep Neural Networks
- 3. 00039- AI Benchmark: Running Deep Neural Networks on Android Smartphones
- 4. Supervised Speech Separation Based on Deep Learning-An Overview
- 5. Survey and experimental study on metric learning methods
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- 8. 論文翻譯：Speech Enhancement Based on the General Transfer Function GSC and Postfiltering
- 9. On the Number of Linear Regions of Deep Neural Networks
- 10. Summary of defect detection algorithms based on deep learning