Know the quality of your speech
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Updated
Jul 20, 2023 - Jupyter Notebook
Know the quality of your speech
This repository belongs to my Bachelor's thesis on predicting voice likability from pre-trained speech embeddings.
Dataset of crowdsourced Speech Quality Assessment using the Comparison Category Rating (CCR) test method
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Dataset
Python implementation of a few speech intelligibility prediction algorithms
Train no-reference speech quality estimators with multiple datasets via learned, per-dataset alignments.
Implementations of audio watermarking methods, speech quality metrics and attacks in different domains.
Go baresip wrapper for automated SIP tests
Objective measures of speech quality SNR
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
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
Python implementation of performance metrics in Loizou's Speech Enhancement book
NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment
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