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DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.

With this tool you can easily design a new language, digitize an existing one or incrementally reconstruct an ancient language. It allows for free experimentation of all aspects of the language, so it does not have to be made consistent on paper first. You can edit script, syntax, grammar, morphology, lexicon and phonology, as well as write documents in the language, as it might be too complex to be handled by current font technology. The information is stored in xml format for easy integration with other software.

Legba will be a set of tools designed to publish one content file (in XML) on many media such as websites, CD-Rom or paper.