AQUA-Tk = Audio QUality Assessment-Toolkit. (In development)
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Updated
Dec 8, 2025 - Python
AQUA-Tk = Audio QUality Assessment-Toolkit. (In development)
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
Unofficial fairseq-free PyTorch implementation of UTMOS (v1, 2022), matching the original system.
Benten is an audio evaluation and analytics platform built specifically for Voice AI agents. It connects directly to voice AI platforms to discover your agents, process call audio, and measure conversation quality, response latency, and speech dynamics.
Unofficial fairseq-free PyTorch implementation of SCOREQ (2024), matching the original system.
Application for objective sound quality measurements using certified and well-established PEAQ and VISQOLA methods with non-intrusive modular method based on CNNs (mel-spectrograms)
Neural speech quality assessment — score audio with non-intrusive/intrusive metrics and compare enhancement algorithms in minutes. Backed by Uni-VERSA-Ext.
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