In order to eliminate ambient noise, what we will need is to get a sample to make the program understand what we consider noise and what we do not.Next, we select “ Audio”Which will open a window for us to search for the audio we want remove background noise.For this we are going to press on “ File“And then we go to” to import”.Once you have Audacity downloaded, we will proceed to open the program to load the audio file.
Remove noise from an audio track with Audacity With Audacity we can eliminate that noise in a fairly simple way, which we are going to do next with this simple tutorial which you must follow step by step and in a short time you will have your audio free of noise. You can even hear our breathing, something that does not look very good to say in an audio. You'll probably need to repeat the process multiple times, refining the parameters.When we record our voice, on many occasions a background noise is felt, the famous “ Ambient noise”Which can be annoying, especially in the parts where we don’t speak. Then go to Audacity and apply Notch Filters for each time interval and frequency you previously identified.
Take notes of the time intervals and frequencies. If so, find on the left hand scale the frequency (or frequency band) where it seems to fit mostly. Listen to your audio while looking at the spectrogram and see if you can visually correlate the sounds you want to eliminate with specific high energy presence in the spectrogram (i.e. The details of the resulting spectrogram will intirely depend on the specific audio, but here's an example of a spectrogram (probably from a piece of music): Load your audio into Sonic Analiser and perform a spectral analisys. I recomend Sonic Visualizer as a free/open source tool widely used for audio analisys in research and academia (setting up Sonic Visualizer with the required plugins may be a bit of a project on it self, but there are instructions in the site and it's worth the trouble).
In practical terms I would suggest not to start with Audacity (as excellent tool as it is), but to a more specialized audio analisys tool. Best results (or perhaps, not so bad results) may be achieved if this process is done specifically to different audio segments, depending on how the voices mix along the recording. Then you need to apply filters to remove these frequencies from the audio. It's hard to summarize an approach without going into lengthy technical explanations, and to be honest, I think it will be extremely difficult for someone without the proper training to do it, but even so it may be worthwhile to lay out the basic approach.īasically, you need to identify frequencies in your recording that belong to the voice (ot other sounds) you want to eliminate, but not (as much as possible) to the voices you want to keep. So it's a matter of experimentation and trying to get the best compromise. Depending on the specific case, it may me possible to attenuate the voice you don't want, probably at the expense of the overall quality and perceptibility of the rest. It may or (most probably) may not be possible to do what you wish, as voices are voices and take more or less the same place in the frequency spectrum, so there is no "magical" way of isolating them. There is no generic recipe to remove a certain specific sound from a recording.
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