CKUA – Alberta Listen
Radio 1190 – Colorado
FreeG ~ Fader Plug-in
The Sonalksis FreeG is everything you need in a master fader. A simple, but absolutely indispensable plug-in, FreeG extends the functionality of a typical audio host by providing a large-format style fader, along with ultra accurate metering. FreeG helps to maximise workflow with extended, customizable metering, and multiple control features and settings.
When working with digital audio, a lack of fine metering and extended signal flow control in the host is a common issue. FreeG helps to improve workflow in the host by providing these features in the insert chain. By delivering enhanced control of amplitude, phase and pan (stereo version) in the insert chain as well as fine metering, with user configurable industry standard ballistic options, the freeG is the perfect master control.
Features:
- Long-throw fader
- Ultra accurate metering
- Multiple metering ballistic types
- Peak and RMS readouts
- Pre/Post metering options
- Selectable Pan-Law
- ‘Fine’ mode for sensitive calibration of the master fader
- Mono-compatible for use in tracking situations
- VST and Audio Unit (32 and 64 bit)

Similarity ~ Refines Music Collections
As an active music fan you surely know how difficult it sometimes may be to keep your music collection ordered. The more sound files you have, the more time and effort it takes to clean out duplicates, low-quality files and purify the entire collection of any musical garbage it contains. Thatβs where Similarity comes in handy!
Similarity rapidly scans your music collection and shows all duplicate music files you may have. The comparison, powered by “acoustic fingerprint” technology, considers the actual contents of files, not just tags or filenames, and thus ensures the extreme accuracy of similarity estimation. Moreover, the comparison isnβt audio file format dependent; the application supports almost every file format in full.
Alongside eliminating musical doubles, Similarity also provides advanced quality control functions. Really, who wants a collection full of low-bitrate music, badly remastered compositions and songs full of noise? Similarity analyzes files and calculates a quality score basing on various technical parameters of that recording, such as: bitrate, frequency, amplitude cut value, amplitude average value, amplitude maximum and many others. The program automatically detects all common problems with audio files and assigns a corresponding quality mark to each file. A quick sort β and youβve got files with the highest quality at the top and files you can delete without doubts at the bottom.

Wider ~ Powerful Stereo Expansion
Pseudo stereo without phase issues. Wider takes the massively popular stereo section from its sibling, Manipulator, and creates the illusion of an expanded stereo image of a mono signal to an awe-inspiring amount of width. However, Wider is a unique stereo plugin in the sense that it is completely βmono-compatibleβ, meaning that any signal that has been extended will always remain in phase with itself, even if summed to mono.

AnSpec ~ Analog-style Spectrum Analyzer
AnSpec is an analog-style one/third-octave spectrum analyzer AAX, AudioUnit and VST plugin for professional sound and music production applications. It was designed to be a handy visual feedback tool for those who like visual smoothness and easiness of use of analog analyzers. AnSpec also provides peak level indication.
While there are no adjustable parameters available in this plugin, you can still change level meter ballistics and resize pluginβs window.
Features:
- 1/3 octave analog-style spectrum analyzer
- Peak level indication
- User interface window resizing
- Stereo and mono analysis
- All sample rates support
- Zero processing latency
- User interface color schemes
- Resizable user interface
- Retina and High DPI support

www.voxengo.com/product/anspec
References:
Multidumper ~ Separate VGM Tracks
A command line program to split VGM tracks automatically into wav files.
Spleeter ~ Source Separation Library
Spleeter is the Deezer source separation library with pretrained models written in Python and uses Tensorflow. It makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation:
- Vocals (singing voice) / accompaniment separation (2 stems)
- Vocals / drums / bass / other separation (4 stems)
- Vocals / drums / bass / piano / other separation (5 stems)
2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU.
We designed Spleeter so you can use it straight from command line as well as directly in your own development pipeline as a Python library. It can be installed with Conda, with pip or be used with Docker.
AutoEQ ~ Automatic Headphone Equalization
AutoEQ is a project for equalizing headphone frequency responses automatically and it achieves this by parsing frequency response measurements and producing a equalization settings which correct the headphone to a neutral sound. This project currently has almost 2000 headphones covered in the results folder. See Usage for instructions how to use the results with different equalizer softwares and Results section for details about parameters and how the results were obtained.
AutoEQ is not just a collection of automatically produced headphone equalization settings but also a tool for equalizing headphones for yourself. frequency_response.py provides methods for reading data, equalizing it to a given target response and saving the results for usage with EqualizerAPO. It’s possible to use different compensation (target) curves, apply tilt for making the headphones brighter/darker and adding a bass boost. It’s even possible to make one headphone sound (roughly) like another headphone.
Third major contribution of this project is the measurement data and compensation curves all in a numerical format except for Crinacle’s raw data. Everything is stored as CSV files so they are easy to process with any programming language or even Microsoft Excel.
VocalZap ~ Remove Vocals From Songs
With this free iPhone app and effect plug-in for PC and Mac you can easily remove vocals from songs! Vocalzap is a free iPhoneβ’ / iPodβ’ app, and VST plugin, that can effortlessly remove the vocals from any song. If you want to sing along, click the “Lyrics” button. Toggle between the original singer or no vocals with the click of a button.
Features:
- Remove vocals from most songs
- Look up lyrics to most songs (iPhone only)
- Toggle between vocals and no vocals to compare
- Use it for Karaoke parties with your own tunes!
foo_dsp_xgeq ~ Advanced Foobar2000 Equalization
Foobar DSP based graphic equalizer.
Features:
- 31 bands (1/3rd octave width)
- boost / cut range of +-12 dB in 0.1 dB steps
- master gain (can be set manually or automatically => prevents clipping for the most part)
- minimum phase (=> no pre-echo)
- approximates a smooth frequency response (=> no ‘steps’ between the bands)
- import / export presets
- mono and stereo mode

www.foobar2000.org/components/view/foo_dsp_xgeq
EQ preset generation ~ github.com/jaakkopasanen/AutoEq
foo_dsp_vstwrap ~ Foobar2000 VST Wrapper
This is a Foobar2000 player wrapper plugin, which allows using VST plugins within the player. This component is depreciated and was developed for 0.9x versions of Foobar2000
Snd ~ Unix Sound Editor
Snd is a sound editor modelled loosely after Emacs. It can be customized and extended using eitherΒ s7Β (included in the Snd sources),Β Ruby, orΒ Forth. Snd is free; the code is available via anonymous FTP as Snd tarball.

ccrma.stanford.edu/software/snd/
ccrma.stanford.edu/software/snd/snd/snd
sourceforge.net/projects/snd
