Software for technical ear training on equalization
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Updated
Feb 6, 2025 - Python
Software for technical ear training on equalization
fat_llama is a Python package for upscaling audio files to FLAC or WAV formats using advanced audio processing techniques. It utilizes CUDA-accelerated calculations to enhance audio quality by upsampling and adding missing frequencies through FFT, resulting in richer and more detailed audio.
SoundMatchAnalyser (SMA) is a powerful tool designed to analyze and compare audio quality by evaluating the differences between two audio files
A Python package for advanced audio processing, enabling users to mix, master, and apply sound engineering techniques with ease
Countdown timer for live performance slots
A tool for visualising multicore audio snake channels
Create pull request every time you re-configure your patch bay. Auto-generate labels with Python. For Brother P-Touch label printer
Audio visualization tool for generating detailed spectrograms from FLAC files, featuring customizable parameters and zoom functionality for precise audio analysis
Jingle machine for audio engineers
An advanced audio processing library that takes full advantage of multi-processing and multi-threading techniques, to perform highly performant analysis on audio files.
Py script converts audio timestamp data between track duration based formats to tool-friendly formats that use total time elapsed.
Trims silences across multiple WAV files at one time.
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