conformer-ctc et

Icefall conformer-ctc3 based recipe (https://github.com/k2-fsa/icefall/tree/master/egs/librispeech/ASR/conformer_ctc3) trained Estonian ASR model using ERR2020 dataset

For usage:

clone this repo (git clone https://huggingface.co/rristo/icefall_conformer_ctc3_et)
go to repo (cd icefall_conformer_ctc3_et)
build docker image for needed libraries (build.sh or build.bat)
run docker container (run.shor run.sh). This mounts current directory
run notebook err2020/conformer_ctc3_usage.ipynb for example usage
- currently expects audio to be in .wav format

Model description

ASR model for Estonian, uses Estonian Public Broadcasting data ERR2020 data (around 340 hours of audio)

Pretty much a toy model, trained on limited amount of data. Might not work well on data out of domain (especially spontaneous/noisy data).

Trained on ERR2020 data, evaluated on ERR2020 and mozilla commonvoice test data.

TODO