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View Code? Open in Web Editor NEWImplementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch
Implementation of "A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement" by pytorch
你好,这篇论文在网上已经找不到pdf文件,可以分享一下吗?谢谢!
请问下,你的源码什么时候可以开源?
Dear author,
Hello, and thank you for generously sharing this code. I have a question that I would like to seek your advice on. Regarding the calculation of PMSQE, the code includes a file named "bark_matrix_16k.mat" based on a window length of 512 at a 16K sampling rate. I am interested in obtaining a "bark_matrix" for a frame length of 256. Upon careful examination of the code, it seems there is no specific section addressing the retrieval or generation of the "bark_matrix."
Therefore, I am reaching out to you for guidance on how to obtain the "bark_matrix" for a frame length of 256. I appreciate your assistance and look forward to your response.
Best regards,
Mingyue
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