OpenAI is further expanding the capabilities of its Evals tool, bringing native audio input and audio scoring support to developers. This update means that models' audio responses can now be evaluated directly without first transcribing them into text. This new feature greatly simplifies the evaluation process for speech recognition and speech generation models.
With native audio support in Evals, developers can test and optimize their audio applications more efficiently. Users simply need to upload an audio file to evaluate its performance on the platform. This not only reduces the complexity of data processing but also improves the accuracy and reliability of evaluation results. For developers who frequently test and adjust audio models, this is a significant advancement.
The application scenarios of this feature are very broad, such as: development and optimization of smart voice assistants, performance evaluation of speech recognition systems, quality control of audio content generation.
This update provides developers with a more direct and efficient tool to ensure the high quality and performance of their audio applications.
Address: https://cookbook.openai.com/examples/evaluation/use-cases/evalsapi_audio_inputs
