UTokyo-SaruLab MOS Prediction System
-
Updated
Apr 2, 2026 - Python
UTokyo-SaruLab MOS Prediction System
Speech (audio) subjective evaluation system
[ICCV 2025] - Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution
PASQA: Pitch-Accent-Focused Speech Quality Assessment Model Trained on Synthetic Speech with Accent Errors
Command-line interface (CLI) and Python library to evaluate text-to-speech (TTS) mean opinion score (MOS) studies done on Amazon Mechanical Turk (MTurk). The calculation of the confidence intervals is done in the same manner as described in (Ribeiro et al., 2011).
Simple kNN classifier for VoIP and RTC Metrics
This project focuses on developing machine learning solutions for various use cases within 5G New Radio (NR) networks, specifically under the Open Radio Access Network (O-RAN) framework.
The repository contains the official data processing and statistical analysis pipeline for the paper "Subjective Evaluation of Image Colorization Quality Using the CIN25 Dataset" accepted for ICIP 2026 Workshop.
Add a description, image, and links to the mean-opinion-score topic page so that developers can more easily learn about it.
To associate your repository with the mean-opinion-score topic, visit your repo's landing page and select "manage topics."