Comments (10)
Sorry
In addition, I would like to ask if I want to use this speech-enhanced system in the front of the ASR. How do I do this?
Many thanks,
Nick
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Hello Qiuqiang,
Mat_2d_to_3d is to convert features to (n_segs, n_concat, n_freq).
The center frame of the first round of stacking frames is t=1, and the center frame of the second round of stacking frames should not be t=2?
But as shown in the following figure, why is the center frame of the second round of stacking frames t=4?
Many thanks,
Nick
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Hi Yong,
Thank you for your replying!
There are some questions I'd like to ask:
-
The "enhanced features for ASR" you mentioned, do you mean the magnitudes of log power spectrogram?
-
Do you think using recover enhanced wav as ASR input is feasible?
-
What would you recommend about applying the enhancement system to dealing with the environmental noise?
Many thanks,
Nick
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Hello Qiuqiang,
This is a great work. It will be of great help if you could elaborate on below points mentioned by you in above discussion.
"- method will lose some information. Some work did a joint enhancement and recognition."
I get the point of information loss. Can you please tell more about Joint enhancement and recognition?
Is it like two 2 DNN models interlinked or preprocessing and ASR.
Thank-you.
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Dear Yong,
"
Yes, there are joint SE & ASR training papers:
https://www.isca-speech.org/archive/interspeech_2014/i14_0616.html
https://ieeexplore.ieee.org/abstract/document/7178797/
"
It was an informative read. It would be great if you could post a link to its implementation (source code)
Thank-you,
Akshaya
from sednn.
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