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I have searched and found a lot of noise-canceling solutions. but many of them are platform-dependent(like "noise torch" for ubuntu) and many of them are not workable for real-time. I also looked into some RNN(recurrent neural network) based solution but none of this is that good or hard to integrate.

now, for an audio conference situation, especially targeted to an office environment(any formal conference mainly), what approach should I follow for denoising audio(audio byte array for example) per participant? or what is the best open-source (may need some tweaking) solution/approach available to date which is platform-independent?

Thanks in advance for any kind of help..!!

Nafiul Alam Fuji
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  • update your question to detail examples of source of such noise – Scott Stensland Dec 08 '21 at 13:40
  • I updated.. actually I need noise cancelation especially for a formal conference situation like skype you can say. There are different kinds of noise falling in this area and noise prioritization would be determined by the method I will use, isn't it? this is a vast area I am exploring but don't know why no one is responding. should I specify more? if so please tell me – Nafiul Alam Fuji Dec 09 '21 at 02:56

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