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1. AEC-Challenge AEC-Challenge Public

   Forked from microsoft/AEC-Challenge

   AEC Challenge

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2. LSA LSA Public

   Forked from ZhongshuHou/LSA

   Ablation study of local spectral attention (LSA) for full-band speech enhancement (SE)

   Python 1

3. GPT-SoVITS GPT-SoVITS Public

   Forked from RVC-Boss/GPT-SoVITS

   1 mins voice data can also be used to train a good TTS model!

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4. DEEP-ADAPTIVE-AEC-HYBRID-OF-DEEP-LEARNING-AND-ADAPTIVE-ACOUSTIC-ECHO-CANCELLATION DEEP-ADAPTIVE-AEC-HYBRID-OF-DEEP-LEARNING-AND-ADAPTIVE-ACOUSTIC-ECHO-CANCELLATION Public

   Forked from afterRain-2005/DEEP-ADAPTIVE-AEC-HYBRID-OF-DEEP-LEARNING-AND-ADAPTIVE-ACOUSTIC-ECHO-CANCELLATION

   这里是尝试复现论文《DEEP ADAPTIVE AEC: HYBRID OF DEEP LEARNING AND ADAPTIVE ACOUSTIC ECHO CANCELLATION》主要模型的尝试。（数据集为随机生成，可根据个人下载的数据集重新训练）

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5. code_2020ICASSP_five code_2020ICASSP_five Public

   Forked from onolab-tmu/code_2020ICASSP_five

   Fast Independent Vector Extraction: Code and data to reproduce the results from the paper.

   Python

6. Dive-into-DL-TensorFlow2.0 Dive-into-DL-TensorFlow2.0 Public

   Forked from TrickyGo/Dive-into-DL-TensorFlow2.0

   本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

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