The Tsinghua NLP Lab, in collaboration with OpenBMB and ModelBest, has officially unveiled and open-sourced UltraEval-Audio. This innovative evaluation framework is specifically designed for audio models, marking a significant enhancement to the current audio evaluation landscape. The latest iteration, v1.1.0, elevates the existing 'one-click evaluation' feature by introducing the seamless ability to replicate widely-used audio models with just a single click.

This update not only broadens its support for professional-grade models and specialized evaluation metrics but also integrates an isolated inference operation mechanism. This mechanism significantly reduces the barriers to model replication while enhancing the controllability and transferability of the evaluation process. As a highly influential tool in the realm of audio and multimodal model evaluation, this open-source release is poised to accelerate the efficiency and effectiveness of audio model development.

For those interested in exploring further, the article includes links to access the UltraEval-Audio v1.1.0 evaluation framework and relevant research papers.