Editing Mean Opinion Score (section)

== Contemporary Developments ==

=== Crowdsourcing and Remote Testing ===

ITU-T P.808 (2021) established guidelines for conducting MOS evaluations using crowdsourcing platforms, recognizing the need for scalable testing methods. This approach enables larger-scale evaluations but introduces new challenges in quality control and participant screening.<ref>https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-P.808-202106-I!!PDF-E&type=items</ref>

=== Deep Learning Integration ===

Recent research explores using deep learning models for automatic MOS prediction, potentially enabling real-time quality assessment. Some approaches integrate MOS predictions into other tasks, such as fake audio detection, where predicted MOS scores help identify synthetic speech.<ref>https://arxiv.org/html/2401.13249v2</ref>

=== Multi-Modal Assessment ===

Modern applications increasingly require evaluation beyond audio quality alone. Research is extending MOS concepts to multi-modal scenarios, including audio-visual quality assessment and the evaluation of text-to-speech avatars that combine voice and visual synthesis.