PESQ

[ahaanparekh]

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]

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

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On Sun, 15 Dec 2019 at 21:56, ahaanparekh ***@***.***> 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 <#50?email_source=notifications&email_token=ABJGHUVGVXXK4533KI3XAA3QY4J6LA5CNFSM4J3EYHW2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IAUJ6LQ>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABJGHURQRLIMLK3K42DT4QLQY4J6LANCNFSM4J3EYHWQ> .

[qiuqiangkong]

Hi, The workspace can be empty folder created by you. The trained models will be saved to this folder. Best wishes, Qiuqiang

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________________________________ 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! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2FyongxuUSTC%2Fsednn%2Fissues%2F50%3Femail_source%3Dnotifications%26email_token%3DADFXTSPLWUVNDYF6HW4P4ZDQY4J6NA5CNFSM4J3EYHW2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4IAUJ6LQ&data=02%7C01%7Cq.kong%40surrey.ac.uk%7Ce64ff34ffdf44bcc0a0d08d781ec9b58%7C6b902693107440aa9e21d89446a2ebb5%7C0%7C0%7C637120725540278324&sdata=yH77bVAMQ8DitQ3DRDfP%2F7CXBR5vhErmtK81Xet%2FJGU%3D&reserved=0>, or unsubscribe<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.com%2Fnotifications%2Funsubscribe-auth%2FADFXTSJ5ZTSV6YPCVTHBC33QY4J6NANCNFSM4J3EYHWQ&data=02%7C01%7Cq.kong%40surrey.ac.uk%7Ce64ff34ffdf44bcc0a0d08d781ec9b58%7C6b902693107440aa9e21d89446a2ebb5%7C0%7C0%7C637120725540278324&sdata=BsO4YP71Jfcjpj%2Fw6atT%2BeltqakMCgHJtfm7vmgIIjM%3D&reserved=0>.