You can deploy this model and start earning money today!

rristo/
espnet_ebranchformer_et

Name: espnet_ebranchformer_et
Availability: InStock

Views

No views yet

e-branchformer et

Espnet2 e-branchformer based recipe (https://github.com/espnet/espnet/tree/master/egs2/librispeech_100/asr1) trained Estonian ASR model using ERR2020 dataset

For usage:

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

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.

Look into folder exp/images.

Validation results are in exp/RESULTS.md