librosa
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librosa | beets | |
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14 | 186 | |
6,681 | 12,393 | |
2.2% | 0.8% | |
7.2 | 9.7 | |
17 days ago | 6 days ago | |
Python | Python | |
ISC License | MIT 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.
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.
beets
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Show HN: Synced lyrics database with a free, easy-to-use API
I was always frustrated that there is no solid source for synced lyrics that also offers decent API support. There is good ol' Crintsoft's MiniLyrics that is thankfully free software, was what I used a lot in my childhood, but unfortunately the API is highly obfuscated. Another popular choice is the Musixmatch API, which has a very large database of synced lyrics, but with "free" API that are reverse-engineered from their app, you will quickly run into rate-limit.
That's why I created LRCLIB. It's aimed to provide completely free synchronized lyrics for everyone, especially for FOSS music players, with zero profit intention. It currently has nearly 3,000,000 (not deduplicated) lyrics in database. You can also contribute to the database by adding and syncing lyrics for your favorite songs using the LRCGET client.
I'm trying my best to make LRCLIB server-side code open-source as soon as possible. But right now, full LRCLIB's database dumps have already been uploaded regularly and publicly, which are simply sqlite3 files. Feel free to download, look at or do anything you want with the database at https://lrclib.net/db-dumps.
Many open-source projects have already begun integrating LRCLIB, including:
- beets - music library metadata management (https://github.com/beetbox/beets)
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Finally moving to Navidrome... but how to best manage files and metadata?
I just ssh onto my server and use beets to remotely organize my navidrome collection and edit metadata. Beets has lots of auto-tagging features and I rarely need to edit anything manually. Works great if you are ok with using the command line.
- Beets: The music geek's media organizer
- Manage offline music?
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Musicserver that works with folders, not albums
You could try https://github.com/beetbox/beets but it seemed very manual and extremely slow. I had better luck with Picard.
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Ask HN: Flac/MP3 listeners: How do you store/play your music?
Honestly? I use https://beets.io/ to organise all my FLAC on my NAS.
I expose the /Music directory over NFC.
I use https://kodi.tv/ to stream music to my amp. I manually pick the album I want to listen to.
Kodi also has a fairly reasonable web UI.
Keep it simple.
- How do you keep your music library organized?
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Library Organiser?
If you're technically inclined, there's beets.
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anyone else wish this was still a thing?? scrolling album art - ios 6.1.3
You should check out beets.
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Is there a faster way to organize music torrents into a specific folder?
Yes, you have the torrent client call beets.io on the folder and have beets configured.
What are some alternatives?
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Lidarr - Looks and smells like Sonarr but made for music.
pydub - Manipulate audio with a simple and easy high level interface
Navidrome Music Server - ๐งโ๏ธ Modern Music Server and Streamer compatible with Subsonic/Airsonic
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
picard - A cross-platform music tagger powered by the MusicBrainz database. Picard organizes your music collection by updating your tags, renaming your files, and sorting them into a folder structure, exactly the way you want it.
kapre - kapre: Keras Audio Preprocessors
Airsonic - :satellite: :cloud: :notes:Airsonic, a Free and Open Source community driven media server (fork of Subsonic and Libresonic)
audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
Ampache - A web based audio/video streaming application and file manager allowing you to access your music & videos from anywhere, using almost any internet enabled device.
aubio - a library for audio and music analysis
moOde Audio - moOde sources and configs