muzic VS librosa

We open our code and checkpoint here: muzic/getmusic at main · microsoft/muzic (github.com)

Code: https://github.com/microsoft/muzic

There's a lot of research right now into music generation (example) that could potentially lead to songs completely written, performed, and produced by software. While I don't think those will be topping the charts, the same tech could definitely be used by humans to generate and expand on ideas, and the success of things like Twitter bots powered by GPT-3 makes me think there could be a niche for botpop. On the extreme end, imagine a service like Pandora, except it generates brand new songs tailored to your preferences.

Muzic (https://github.com/microsoft/muzic) is a research project on AI music that empowers music understanding and generation with deep learning and artificial intelligence. Muzic was started by some researchers from Microsoft Research Asia.

We initially release the code of 5 research work: MusicBERT, PDAugment, DeepRapper, SongMASS, and TeleMelody. We will release the code of more research work in the future.

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.