NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

Python implementation of performance metrics in Loizou's Speech Enhancement book

VoIP signaling and media test automation

A Python library for computing the Mel-Cepstral Distance (Mel-Cepstral Distortion, MCD) between two inputs. This implementation is based on the method proposed by Robert F. Kubichek in "Mel-Cepstral Distance Measure for Objective Speech Quality Assessment".

A toolkit to calculate speech audio quality. Not affiliated with the original authors

Deep Noise Suppression for Real Time Speech Enhancement in a Single Channel Wide Band Scenario

Objective measures of speech quality SNR

Implementations of audio watermarking methods, speech quality metrics and attacks in different domains.

Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.

Go baresip wrapper for automated SIP tests

Python implementation of a few speech intelligibility prediction algorithms

Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Dataset

This repository belongs to my Bachelor's thesis on predicting voice likability from pre-trained speech embeddings.

Know the quality of your speech

Dataset of crowdsourced Speech Quality Assessment using the Comparison Category Rating (CCR) test method

Performance of Objective Speech Quality Metrics on Languages Beyond Validation Data