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Gyuhwa
Participant
Apr 21, 2020 9:26 AM UTC
Answered

I want to know the working principle of DeNoise

Hello. I am an audio semiconductor developer who uses adobe audition in Korea.

I am using version 13.0.2.35 of Adobe Audition.

I am trying to remove Idle noise by using DeNoise to tune the sound source, but I need to know exactly how the sound is removed.

(Effects -> Noise Reduction / Restoration -> DeNoise)

For example, I would like to know the principle such as removing the input gain according to the Amount value. And if DeNoise remove the noise component, I am curious how to separate the noise from the original signal.

The homepage only mentions how to use DeNoise, and I have not been able to confirm how it works.

 

Thanks,

Gyuhwa

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SteveG_AudioMasters_
SteveG_AudioMasters_Correct answer
Community Expert
Apr 21, 2020 10:09 AM UTC

Sorry, we can't tell you - that specific information (and indeed all internal working information) is commercially sensitive and not made public. But all noise reduction works on the same statistically-based principles, and there are plenty of papers around that outline this - some in considerable detail. For instance - Statistical-Based Approaches for Noise Removal 

 

But that's as much help as we are able to give you.

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2 replies

SteveG_AudioMasters_
Community Expert
SteveG_AudioMasters_Community ExpertCorrect answer
Community Expert
Apr 21, 2020 10:09 AM UTC

Sorry, we can't tell you - that specific information (and indeed all internal working information) is commercially sensitive and not made public. But all noise reduction works on the same statistically-based principles, and there are plenty of papers around that outline this - some in considerable detail. For instance - Statistical-Based Approaches for Noise Removal 

 

But that's as much help as we are able to give you.

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    GyuhwaAuthor
    Participant
    Apr 23, 2020 1:55 AM UTC

    Dear SteveG

     

    Thank you for your kind response to my unreasonable request. I will try to understand the document you shared well.

     

    Thanks,

    Gyuhwa

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