Tag Archives: python

Cavasik ~ CAVA Based Audio Visualizer

Posted by tom2tec on

This is an audio visualizer based on CAVA with extended capabilities.

Features:

  • Change background and foreground colors through a DBus interface!
  • Five normal drawing modes!
  • Two circle drawing modes!
  • Three mirror drawing modes!
  • Four drawing directions!
  • Customizable LibAdwaita interface!
  • Set a single color or up to a 10 color linear gradient for background and foreground!
  • Select different foreground colors for the mirrored images in mirror mode!
  • Set up a color animation that changes the colors gradually in a loop!
  • Configure smoothing, noise reduction and a few other CAVA settings!

github.com/TheWisker/Cavasik
flathub.org/apps/io.github.TheWisker.Cavasik

Wax ~ Catalog & Play Recordings

Posted by tom2tec on

Wax is a program for cataloging and playing a collection of music recordings. Wax is able to rip CDs and import downloads so that you can create a sound archive complete with metadata.

Wax is fundamentally different from existing music managers in two important ways. First, the fundamental unit for recordings is a “work”, not a track. A work is usually a collection of tracks. It can encapsulate whatever tracks you choose. In pop music, a work can be an album. For symphonic music, a work can be a single symphony, even when the tracks come from a CD with more than one symphony. For operas, a work can be a single opera even when the tracks come from multiple CDs. Music collectors usually think in terms of works, so a music manager that supports the concept makes operation more natural.

The other distinguishing characteristic of Wax is that genres are fundamental to the organization of a collection rather than a mere attribute of a track. Wax recognizes that the ideal way to catalog works varies by genre. For example, symphonic works can be cataloged by composer, work, conductor whereas shows can be cataloged by show, composer, lyricist. By organizing collections around genres, Wax supports an operation sequence that is natural for music lovers: first select the genre, then the work, and finally the tracks.

github.com/jeffbarish/wax
github.com/jeffbarish/wax-install

Roon Command Line Project ~ Roon Automation & Control

Posted by tom2tec on

The Roon Command Line project provides Bash and Python scripts to enable command line control of the Roon audio system over a local network.

Note: No modifications are made to the Roon Core. The RoonCommandLine package resides entirely on other systems within your local area network.

rooncommand.dev
github.com/doctorfree/RoonCommandLine

scdlbot ~ Music Downloader Telegram Bot

Posted by tom2tec on

Telegram Bot for downloading MP3 rips of tracks/sets from SoundCloud, Bandcamp, YouTube with tags and artwork.

github.com/gpchelkin/scdlbot

MusicSync ~ Synchronize Music Libraries

Posted by tom2tec on

MusicSync is a cross-platform tool that synchronizes your music library between devices and drives with advanced settings.

You can use it through CLI, that makes easy to sync you library with only a click using a script, or through GUI, that is more user-friendly. Here there are two examples:

python musicsync D:/Music sdcard/Music --adb --min-rating 4.5 --output-format opus --output-bitrate 128k
python musicsync D:/Music sdcard/Music --adb --min-rating 3 --min-year 2020 --output-format opus --output-bitrate

github.com/serpest/MusicSync
hydrogenaud.io/index.php?topic=121169.0

ARver ~ Command Line AccurateRip Verification

Posted by tom2tec on

ARver is a command-line program for verifying audio tracks ripped from a CD against checksums stored in AccurateRip database.

The idea behind AccurateRip verification is that it’s virtually impossible to get exact same errors when ripping different copies of the same CD on various CD drives. If the copies are scratched or otherwise degraded, read errors will occur in different disc sectors. CD drive defects are unlikely to manifest in the same way on different machines. Essentially, all read errors are expected to be unique, but in absence of errors only a single correct result exists.

AccurateRip database stores track checksums submitted by multiple users. When many users rip the same disc without errors, same checksums are submitted to the database repeatably, boosting their “confidence” statistic. If a checksum of a ripped track is not found in the database, it indicates that the track has not been ripped correctly. Since the result is unique, disc read errors likely occurred while ripping.

ARver calculates the AccurateRip checksums of local files, fetches checksums for a given CD from the database, and displays a report which compares them.

github.com/arcctgx/ARver

DawDreamer ~ Audio Processing Python Framework

Posted by tom2tec on

DawDreamer is an audio-processing Python framework supporting core DAW features and beyond:

  • Composing graphs of multi-channel audio processors
  • Audio playback
  • VST instruments and effects (with UI editing and state loading/saving)
  • FAUST effects and polyphonic instruments
  • Time-stretching and looping, optionally according to Ableton Live warp markers
  • Pitch-warping
  • Parameter automation at audio-rate and at pulses-per-quarter-note
  • Parameter automation saving in absolute audio-rate time
  • MIDI playback in absolute time and PPQN time
  • MIDI file export in absolute time
  • Rendering and saving multiple processors simultaneously
  • Support for the Faust Box and Signal APIs
  • Transpiling Faust code to JAX/Flax and other target languages (C++, Rust, Wasm, etc.)
  • Machine learning experiments with QDax
  • Multiprocessing support
  • Full support on macOS, Windows, Linux, Google Colab, and Ubuntu Dockerfile

DawDreamer’s foundation is JUCE, with a user-friendly Python interface thanks to pybind11. DawDreamer evolved from an earlier VSTi audio “renderer”, RenderMan.

github.com/DBraun/DawDreamer

eyeD3 ~ ID3 Python Script Development

Posted by tom2tec on

eyeD3 is a Python tool for working with audio files, specifically MP3 files containing ID3 metadata (i.e. song info).

It provides a command-line tool (eyeD3) and a Python library (import eyed3) that can be used to write your own applications or plugins that are callable from the command-line tool.

eyed3.readthedocs.io/en/latest/index

github.com/nicfit/eyeD3

rmlyrics3 ~ Lyrics3 Tag Remover For mp3s

Posted by tom2tec on

Before ID3v2 came around, Lyrics3 and Lyrics3v2 had their uses (extending the 30-char limit, placing synced lyrics), but nowadays they are a nuisance for most of us. Plus, we have the lyrics frames USLT and SYLT in ID3v2.

Lyrics3 tags come between the audio data and an ID3v1/ID3v1.1 tag at the end of the file (sometimes without the following ID3v1 tag, even if that is mandatory according to Lyrics3 specs). Current ffmpeg and some players and tools still have bugs and try to interpret Lyrics3 tags as audio data, resulting in obscure errors. Unfortunately, there are almost no tools out there to remove Lyrics3 tags—most programs ignore them, but write them back if changing tags. When removing ID3v1 tags from a file, this can result in the illegal situation mentioned above (having a Lyrics3 tag without a following ID3v1 tag)..

This code has been tested with thousands of files but I can give no guarantees. If you destroy your whole music collection, it’s not my fault. Please have a backup!

github.com/Moonbase59/rmlyrics3

Tomita ~ python-tomita Synthesizer

Posted by tom2tec on

tomita is a command-line music and synthesizer package based on PySynth.

github.com/g4brielvs/python-tomita

PySynth ~ Python Synthesizers & Scripts

Posted by tom2tec on

PySynth is a suite of simple music synthesizers and helper scripts written in Python 3. It is based on a synth script I found on the Web and then modified for my purposes. The goal is not to produce many different sounds, but to have scripts that can turn ABC notation or MIDI files into a WAV file without too much tinkering.

There are nine PySynth variants now: PySynth A, the oldest variant, only needs Python itself, and sounds somewhat like a cross between a flute and organ. PySynth B is more complex in sound and needs NumPy. It is supposed to be a little closer to a piano. No competition for Pianoteq of course, but a reasonable fit for keyboard music. PySynth E is similar, but an FM-synthesized e-piano so it sounds much brighter than B (slightly DX7 e-piano-like; I used the DX7 presets in hexter as a basis). PySynth S is more comparable to a guitar, banjo, or harpsichord, depending on note length and pitch. PySynth C, D, and P are subtractive synths, reminiscent of 1970s analog synthesizer voices.

The synthesizers are all monophonic, i.e. they can only play one note at a time. (Although successive notes can overlap in PySynth B and S, but not A.) However, two or more output files can be mixed together…

mdoege.github.io/PySynth/

github.com/g4brielvs/python-tomita

libraries.io/pypi/PySynth

en.wikipedia.org/wiki/PySynth

Matchering ~ Master Via Modeling

Posted by tom2tec on

Matchering 2.0 is a novel Containerized Web Application and Python Library for audio matching and mastering. It follows a simple idea – you take TWO audio files and feed them into Matchering:

  • TARGET (the track you want to master, you want it to sound like the reference)
  • REFERENCE (another track, like some kind of “wet” popular song, you want your target to sound like it)

Our algorithm matches both of these tracks and provides you the mastered TARGET track with the same RMS, FR, peak amplitude and stereo width as the REFERENCE track has.

github.com/sergree/matchering