There are 3 repositories under speech-quality topic.
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
VoIP signaling and media test automation
Computes the Mel-Cepstral Distance of two WAV files based on the paper "Mel-Cepstral Distance Measure for Objective Speech Quality Assessment" by Robert F. Kubichek.
Deep Noise Suppression for Real Time Speech Enhancement in a Single Channel Wide Band Scenario
A toolkit to calculate speech audio quality. Not affiliated with the original authors
Go baresip wrapper for automated SIP tests
Implementations of audio watermarking methods, speech quality metrics and attacks in different domains.
Python implementation of a few speech intelligibility prediction algorithms
Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Dataset
Dataset of crowdsourced Speech Quality Assessment using the Comparison Category Rating (CCR) test method
This repository belongs to my Bachelor's thesis on predicting voice likability from pre-trained speech embeddings.
Know the quality of your speech