logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
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Updated
Jan 29, 2026 - Python
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
Variations of L1 SNR Loss function for training audio source separation machine learning models
Collection of community-made presets for PulseEffects tailored for TUXEDO laptops.
The code for the MAPSS measures for source separation evaluation.
Repository for subjective and objective evaluation of source separation algorithms
best stereo plugin for better discord
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Scan audio RMS in seconds, offline. rms-scan runs FFmpeg under the hood to batch validate files, emit JSON reports, and fail fast when levels miss your threshold. Built for broadcast fixes, podcast QC, and pre-release gating.
Audio Analysis Tool - Real-time speech recognition, transcription and quality analysis with Vosk and SNR evaluation
iOS Audio Moderation Sample
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