Show HN: Track and Compare Audio Transcription with Whisper × W&B https://ift.tt/8fWongr

Show HN: Track and Compare Audio Transcription with Whisper × W&B Hi HN, based on Whisper [0] and Whisper.cpp [1], I created a comparison of transcription performance (quantitative metrics such as relative speed). You can find the code in the Colab [2] and a blog post [3] containing a how-to guide and visualizations. In the future, I'd love to add WER evaluation and visualizations based on ground-truth data. Bonus: Normally you would log these results from Python to Weights & Biases, but there is a way to log even from C++ / the cli by using `subprocess` Would love to know what you think of this comparison and what features / attributes you would like to see in a more sophisticated comparison. Thanks! [0]: https://ift.tt/9XLyFRk [1]: https://ift.tt/FvbgAoG [2]: https://ift.tt/LwfaniB... [3]: https://ift.tt/KYMaVBU... https://ift.tt/X6p4TPL February 14, 2023 at 03:01PM