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代码地址: https://github.com/breizhn/DTLN 5, References [1] Y. Xu, J. Du, L.-R. Dai, and C.-H. Lee, “An experimental study on speech enhancement based on deep neural networks,” IEEE Signal processing letters, vol. 21, no. 1, pp. 65–68, 2013. [2] K. Han, Y. Wang,...
论文地址:双路信号变换LSTM网络的实时噪声抑制 论文代码:https://github.com/breizhn/DTLN 引用格式:Westhausen N L, Meyer B T. Dual-signal transformation LSTM network for real-time no
Modelns.pyaec.pyaec_mp.py 128 N/A 4.43 ms 2.52 ms 256 N/A 6.36 ms 3.76 ms 512 2.56 ms 12.35 ms 8.48 ms In my experience, it's better to use models < 5ms, otherwise you may see some "output underflow" messages (sometimes increase --latency may help). Additional Notes The aec_...
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pretrained_model.rar_DTLN 行业 - 互联网 太舍**不得上传29.13 MB文件格式rar语音降噪深度学习 DTLN降噪训练好的模型。使用说明:https://github.com/GrayScaleHY/NS_DTLN (0)踩踩(0) 所需:1积分
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support. - wendongj/DTLN
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support. - GitHub - FragrantRookie/DTLN: Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lit