[P] Evaluating automatic speech recognition (ASR) models beyond looking at global evaluation metrics

I recently wrote a blog regarding evaluating automatic speech recognition models beyond looking at global metrics like word error rate.

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[Hierarchical clustering and dimensionality reduction are awesome for detecting problematic data slices and can significantly speed up EDA.](https://i.redd.it/p774e41fijab1.gif)

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It is mostly focused on showing important steps regarding identifying problematic data slices where the model doesn't perform well which concretely are:

1. Do simple univariate checking of which features and feature values cause your model to fail. This already …

asr automatic speech recognition beyond blog data error evaluation evaluation metrics global machinelearning metrics rate recognition speech speech recognition speech recognition models word