wam-openstudio
librosa
wam-openstudio | librosa | |
---|---|---|
1 | 14 | |
20 | 6,699 | |
- | 1.4% | |
0.0 | 7.2 | |
about 1 year ago | 26 days ago | |
JavaScript | Python | |
MIT License | ISC License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wam-openstudio
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Show HN: I'm building a browser-based DAW
We started writing a web-based DAW prototype that relies on the Webaudio Modules version 2.0 (a standard for plugins/hosts on the Web, that can be developed using a large variety of languages/approaches). For the moment, the DAW has very limited features but 1) Each track is written as an AudioWorklet, and sample accurate processing is being done for playing each track. That means, that from the processor part of each track player, we can schedule events (automation, midi, etc) to plugins. We can also loop and edit the audio track with a sample accuracy (this is not done yet, but everything is ready for that. We will add this soon). 2) Each track is associated with a plugin chain. Plugins are WAM plugins (webaudiomodules), and can be automated. 3) There are quite a lot of plugins already available in the WAM format, most effects, instruments. The WAM distribution comes with a set of example plugins + the FAUST IDE can generate WAM2 plugins in seconds. All running DSP in WASM. We (WAM designers, implementers and maintainers) can be reached on a slack channel (#webaudiomodules, subchannel of the #webaudio channel. Get incitation here: https://web-audio-slackin.herokuapp.com/
The WebAudioModules distro is 4 GitHub repos, it is also available as npm modules. (https://github.com/webaudiomodules, start by building the wam-example one and run the examples). You can find some presentations on youtube (such as: https://www.youtube.com/watch?v=8G3we8dikq8).
DAW prototype (should be included soon in the wam-example repo): Picture : https://i.ibb.co/mBdNGqk/WAM2-DAW.jpg online version: https://wam-openstudio.vidalmazuy.fr/, current repo (work in progress, as I said, this work is active and we do plan to add all missing functionnalities the upcoming months) https://github.com/TER-M1/wam-openstudio
There are also professional, commercial DAWs, not open source ones, such as https://ampedstudio.com/ that is also capable of loading WAM plugins, and is developed using the same approach as our DAW proto (host as AW), bandlab.com or soundtrap.com.
Michel
librosa
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Open Source Libraries
librosa/librosa: Python library for audio and music analysis
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A Cross-Platform library for audio spectrogram and feature extraction, support mobile real-time computing
How does this compare to mature libraries for other platforms like librosa?
- Precious Advices About AI-supported Audio Classification Model
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What are the common audio feature tool libraries in python?
I use librosa now. What other useful audio feature extraction libraries are there?
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Looking for a program that will examine a folder full of mp3s or flacs and list out ones with lower or higher than average volume
librosa can do that easily but I think there is an easier way to find what are you looking for:
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Get amplitude of every audio frame of .wav
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.
- Show HN: I'm building a browser-based DAW
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AUDIO ANALYSIS WITH LIBROSA
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.
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AUDIO CLASSIFICATION USING DEEP LEARNING
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.
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DATA AUGMENTATION IN NATURAL LANGUAGE PROCESSING
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.
What are some alternatives?
Cardinal - Virtual modular synthesizer plugin
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
meyda - Audio feature extraction for JavaScript.
pydub - Manipulate audio with a simple and easy high level interface
standardized-audio-context - A cross-browser wrapper for the Web Audio API which aims to closely follow the standard.
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
audioworklet-polyfill - 🔊 Polyfill AudioWorklet using the legacy ScriptProcessor API.
kapre - kapre: Keras Audio Preprocessors
pianolizer - An easy-to-use toolkit for music exploration and visualization, an audio spectrum analyzer helping you turn sounds into piano notes
beets - music library manager and MusicBrainz tagger
breakbeet - A silly music visualizer that sizes a 3D model according to the volume of the input audio.
audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python