Mean Opinion Score

Mean Opinion Score (MOS) is a subjective metric used to evaluate the perceived quality of audio or visual stimuli, serving as a crucial benchmark in various fields like speech synthesis and image quality assessment. Current research focuses on improving MOS prediction accuracy and robustness through advanced machine learning techniques, including self-supervised learning models, ensemble methods, and algorithms that incorporate uncertainty modeling and address annotator bias. Accurate and efficient MOS prediction is vital for reducing the cost and time associated with human subjective evaluations, enabling faster development and deployment of high-quality audio and visual technologies.