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This technical report describes the methods and results of a three-weeksprint to produce deployable speech recognition models for 31 under-servedlanguages of the Common Voice project. We outline the preprocessing steps,hyperparameter selection, and resulting accuracy on official testing sets. Inaddition to this we evaluate the models on multiple tasks: closed-vocabularyspeech recognition, pre-transcription, forced alignment, and key-word spotting.The following experiments use Coqui STT, a toolkit for training and deploymentof neural Speech-to-Text models.

What shall we do with an hour of data? Speech recognition for the un- and under-served languages of Common Voice