melatonin_audio_sparklines VS librosa

You found the Achilles' heel of my project! I don't mind the fonts being different sizes or not monospaced, but the fact that there's a difference in height in the font rendering between ⎺ and ‾ on different platforms is a bummer. I have a flag in the C++ implementation so they can still be rendered "correctly" in IDEs like Xcode [1].

I felt doomed to Unicode in this case because of the number of places I wanted them to show up (CLion lldb integration, GitHub actions output, terminal). I would have loved to actually render graphics! I actually never thought about how they would render on a blog article, I wouldn't generally wouldn't use them for blogging...

1. https://github.com/sudara/melatonin_audio_sparklines/blob/ma...

Nice! I became obsessed with rendering sparkline representations of chunks of audio for the same reason: to inspect failures when writing tests / refactoring. https://github.com/sudara/melatonin_audio_sparklines

librosa/librosa: Python library for audio and music analysis

How does this compare to mature libraries for other platforms like librosa?

I use librosa now. What other useful audio feature extraction libraries are there?

librosa can do that easily but I think there is an easier way to find what are you looking for:

I have a .wav file, and using python, I'd like to get a list of every audio frame where the amplitude is at the resting position. How could I achieve this? I think the librosa library could do such a thing, but I'm struggling to find exactly how to do it. Any help would be greatly appreciated, thank you.

Librosa is a Python package developed for music and audio analysis. It is specific on capturing the audio information to be transformed into a data block. However, the documentation and example are good to understand how to work with audio data science projects.

Hello! welcome once again to the continuation of the last blog post about audio analysis using the Librosa python library, if you missed this article don't worry here you can enjoy audio analysis techniques with Librosa.

Changing pitch of the audio:- in this technique python package for audio analysis like Librosa is the best tool to go with, by adding effect on the audio pitch to create new audio data.