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yongxuUSTC / sednn

deep learning based speech enhancement using keras or pytorch, make it easy to use
http://staff.ustc.edu.cn/~jundu/The%20team/yongxu/demo/SE_DNN_taslp.html
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PESQ #50

Open ahaanparekh opened 4 years ago

ahaanparekh commented 4 years ago

Hey yongxuUSTC! Really cool project I really liked it! I am currently trying to evaluate my own speech enhancement model. I have a set of clean spectograms and a set of spectograms outputted from the model. I've been trying to udnerstand you PESQ code:

Args: workspace: str, path of workspace. speech_dir: str, path of clean speech. te_snr: float, testing SNR.

I would be really grateful if you could clarify what exactly the path to the workspace is, and also what the testing SNR is.

Thank You in advance!

yongxuUSTC commented 4 years ago

Hi,

The PESQ source code was not written by me, I imported or complied from other sources. The basic usage way is: ./pesq +16000 enh.wav ref.wav ./pesq sample_rate(commonly is 16khz or 8khz) enh_wav(not spectrogram) ref_wav(not spectrogram)

Best regards, yong

On Sun, 15 Dec 2019 at 21:56, ahaanparekh notifications@github.com wrote:

Hey yongxuUSTC! Really cool project I really liked it! I am currently trying to evaluate my own speech enhancement model. I have a set of clean spectograms and a set of spectograms outputted from the model. I've been trying to udnerstand you PESQ code:

Args: workspace: str, path of workspace. speech_dir: str, path of clean speech. te_snr: float, testing SNR.

I would be really grateful if you could clarify what exactly the path to the workspace is, and also what the testing SNR is.

Thank You in advance!

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/yongxuUSTC/sednn/issues/50?email_source=notifications&email_token=ABJGHUVGVXXK4533KI3XAA3QY4J6LA5CNFSM4J3EYHW2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IAUJ6LQ, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABJGHURQRLIMLK3K42DT4QLQY4J6LANCNFSM4J3EYHWQ .

qiuqiangkong commented 4 years ago

Hi,

The workspace can be empty folder created by you. The trained models will be saved to this folder.

Best wishes,

Qiuqiang

From: ahaanparekh notifications@github.com Sent: 16 December 2019 05:55 To: yongxuUSTC/sednn sednn@noreply.github.com Cc: Subscribed subscribed@noreply.github.com Subject: [yongxuUSTC/sednn] PESQ (#50)

Hey yongxuUSTC! Really cool project I really liked it! I am currently trying to evaluate my own speech enhancement model. I have a set of clean spectograms and a set of spectograms outputted from the model. I've been trying to udnerstand you PESQ code:

Args: workspace: str, path of workspace. speech_dir: str, path of clean speech. te_snr: float, testing SNR.

I would be really grateful if you could clarify what exactly the path to the workspace is, and also what the testing SNR is.

Thank You in advance!

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