Mo Prediction

Mean Opinion Score (MOS) prediction focuses on automatically estimating subjective quality ratings, typically for audio or speech, eliminating the need for time-consuming human evaluations. Current research emphasizes improving prediction accuracy using various machine learning approaches, including deep learning models like graph neural networks and recurrent neural networks (RNNs), often incorporating techniques like multiview learning and transfer learning to leverage diverse data sources and improve generalization. These advancements have significant implications for accelerating the development and evaluation of speech synthesis, audio processing, and other applications requiring rapid quality assessment, ultimately reducing costs and improving efficiency.