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We can perform noise reduction using Open-source Software like Audacity, which is commonly used for the purpose. Please click the below link for reference.
denoising with audacity image
Is there a python library that can perform a similar function?
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Active noise cancelling headphones all have a small microphone that captures all the ambient sound around you, and uses the Fourier Transform equation to separate the complex sounds into the sine waves that make them up, and then generates a wave that is 180 degrees out of phase (anti-wave) with the ambient noise, ...
Gaussian Filter: It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.
If you want to reduce noise the audacity way, to my understanding, you should program your algorithm using scipy filters provided by scipy library.
Besides that pyaudio is one dedicated library for audio analysis and here is a kickstart tutorial.
If you are not restricted only to Python, you can check out on Essentia. This is by far an exhaustive library for music and audio analysis.
Nutshell: While python libraries provide functionalities, it is you who should code your noise reduction algorithm (tailored to your needs). May be you can follow the audacity's approach.
You can refer this question for better, technical/implementation, clarity: Noise reduction on wave file
Good luck! Try to be precise and post questions focusing on implementation pertaining to programming languages rather than generic things.
As a general guideline: Understand the behavior of your noise and then you can choose your noise removal strategy accordingly.May be you need a simple low pass filter or high-pass filter.
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