It's using letters, not words, so in theory anything that can be spelled in English can be output: https://2r4s9p1yi1fa2jd7j43zph8r-wpengine.netdna-ssl.com/fil

It's using letters, not words, so in theory anything that can be spelled in English can be output: https://2r4s9p1yi1fa2jd7j43zph8r-wpengine.netdna-ssl.com/files/2018/09/bidirectional.gif https://2r4s9p1yi1fa2jd7j43zph8r-wpengine.netdna-ssl.com/fil... Or, if you prefer the code: https://github.com/mozilla/DeepSpeech/blob/0427c1572ac8f7253e46c7041c5e48d8da923cf2/DeepSpeech.py#L196 https://github.com/mozilla/DeepSpeech/blob/0427c1572ac8f7253... (well, I suppose technically it's in https://github.com/mozilla/DeepSpeech/blob/master/data/alphabet.txt https://github.com/mozilla/DeepSpeech/blob/master/data/alpha... through https://github.com/mozilla/DeepSpeech/blob/master/util/text.py https://github.com/mozilla/DeepSpeech/blob/master/util/text...., but I mean come on) In practice ... meh. It gets some things predictably wrong. They're readable, just wrong. So the good news is that WER is words it has 100% correct. The remaining errors aren't usually totally unreadable, just irritating, going from "totext" instead of "to text", but of course names go pretty wrong and don't get better. It butchers my name, of course. If you test it yourself, please do realize it really doesn't deal very well with accents.