I strongly believe that there must be alternatives to Google, Amazon or Microsoft for speech recognition. I like the direction in which Common Voice (Mozilla foundation) is headed, but I’m yet to see any production quality models coming out of that.

For the past few months, I’ve been training ASR models on a lot of speech data collected from various sources. Today, I’m releasing a couple of trained models as an open-source library called at16k. The idea is to provide the developer community with production quality models for speech to text conversion.

Check out the following links for more info: Github repo and PyPI project