Implementations of audio watermarking methods, speech quality metrics and attacks in different domains.
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Updated
Oct 29, 2024 - Python
Implementations of audio watermarking methods, speech quality metrics and attacks in different domains.
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.
VoIP signaling and media test automation
Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.
A toolkit to calculate speech audio quality. Not affiliated with the original authors
Python implementation of performance metrics in Loizou's Speech Enhancement book
Python implementation of a few speech intelligibility prediction algorithms
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
Deep Noise Suppression for Real Time Speech Enhancement in a Single Channel Wide Band Scenario
Know the quality of your speech
Go baresip wrapper for automated SIP tests
This repository belongs to my Bachelor's thesis on predicting voice likability from pre-trained speech embeddings.
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
Objective measures of speech quality SNR
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