This page is home to ongoing speech recognition research for the Talon project. I have trained these models in a process spanning >10 months, using thousands of hours of audio data and months of high end V100 GPU time very generously donated by packet.com

If you find these models useful, please donate on Patreon or send a thank you
to @aegis on the Talon Slack or @lunixbochs on Twitter

You can also contribute your own voice to these models at speech.talonvoice.com

The code used to pre-process the public datasets and set up a machine for training can be found at github.com/talonvoice/speech and the librispeech recipe in the facebookresearch/wav2letter repository