Track and Compare Audio Transcription with Whisper × W&B

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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://news.ycombinator.com/item?id=32927360 [1]: https://news.ycombinator.com/item?id=33877893 [2]: https://colab.research.google.com/drive/1mXZUdIbvdNVOFRJaIhW... [3]: https://wandb.ai/hans-ramsl/gradient-dissent-transcription/r...

Visit product View on Hacker NewsFeb 14, 2023

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Incorrect prediction on native model

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