sednn icon indicating copy to clipboard operation
sednn copied to clipboard

PESQ

Open ahaanparekh opened this issue 6 years ago • 2 comments

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!

ahaanparekh avatar Dec 16 '19 05:12 ahaanparekh

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 [email protected] 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 .

yongxuUSTC avatar Dec 16 '19 08:12 yongxuUSTC

Hi,

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

Best wishes,

Qiuqiang


From: ahaanparekh [email protected] Sent: 16 December 2019 05:55 To: yongxuUSTC/sednn [email protected] Cc: Subscribed [email protected] 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 GitHubhttps://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 unsubscribehttps://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.

qiuqiangkong avatar Dec 16 '19 10:12 qiuqiangkong