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Recent Speech-to-Text models often require a large amount of hardwareresources and are mostly trained in English. This paper presents Speech-to-Textmodels for German, as well as for Spanish and French with special features: (a)They are small and run in real-time on microcontrollers like a RaspberryPi. (b)Using a pretrained English model, they can be trained on consumer-gradehardware with a relatively small dataset. (c) The models are competitive withother solutions and outperform them in German. In this respect, the modelscombine advantages of other approaches, which only include a subset of thepresented features. Furthermore, the paper provides a new library for handlingdatasets, which is focused on easy extension with additional datasets and showsan optimized way for transfer-learning new languages using a pretrained modelfrom another language with a similar alphabet.

Scribosermo: Fast Speech-to-Text models for German and other Languages