In that case all I need to do is identify where it diverges from other apps (Praat, Sonic Visualizer, Friture, MatLab + all the python libraries I’ve used so far). You’ve said Audacity uses a standard FFT library. This brings me to another way of thinking. Each column of s contains an estimate of the short-term, time-localized frequency content of x. I just do know I’ve never managed to come close to them by using different apps and python packages.´ s spectrogram (x) returns the Short-Time Fourier Transform (STFT) of the input signal x. Overall, it’s hard to pinpoint what exactly I value about Audacity spectrograms since I’m judging it on a purely visually-appealing level which is not really translatable to any of the parameters. But the parameters in the Audacity spectrogram settings can likewise induce interesting changes. I’ve prepared several parameters that can do this in the python code that generates the sinewave/WAV file. As I’ve said, my project is meant to end up as a projection of a spectrogram changing in time. ![]() I’ve tried to duplicate Audacity parameters, but the result is still vastly different.Īnother very valuable feature is the spectrogram settings. The Librosa package does come fairly close in terms of colours and a few other attributes, but the resolution absolutely sucks. I’ve tried to plot several spectrograms with several different libraries using the same WAV source file, but never did I achieve the detailed structure present in the Audacity’s spectrogram view. But what I failed to get across the different python libraries is, I don’t now, the overall resolution and the structure? For instance, my profile pic is a spectrogram from Audacity. It’s definitely the colours as well, but I’ve managed to got those with e.g. I can’t really point out the specifics to be fair. Once the project is done it should look very, very nice - that is, if I manage to make this work with Audacity. I’d appreciate any amount of help: from pointing me in the right direction to helping out a bit. The idea is to create en vivo shifting spectrogram based on me changing the source wav file in python (well, actually using some light designer software but that’s irrelevant). Unfortunately, going into Audacity and selecting spectrogram view for the wav file (and then screenshotting) is out of question - the wav file will be edited constantly in real time and I need this to work in code, not Audacity. It is visually gorgeous - which does matter for the project. ![]() ![]() However, the thing is I absolutely love Audacity spectrogram view ever since my linguistics undergrad. Of course, I can stick with python with some of the available spectrogram libraries. The goal for my AV project is to generate a spectrogram of a specific WAV file, which was earlier generated in python, and then to save it as a PNG file. So, I’m asking for some help with Audacity spectrogram view.
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