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# 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
- WER on ERR2020: 12.1
- WER on mozilla commonvoice_11: 23.2

 
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.sh`or `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)

## Intended uses & limitations

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

## Training and evaluation data

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

## Training procedure

Used Icefall conformer-ctc3 based recipe (https://github.com/k2-fsa/icefall/tree/master/egs/librispeech/ASR/conformer_ctc3)

### Training results


TODO

### Framework versions

- icefall
- k2
- kaldifeat==1.24
- lhotse==1.15.0
- torch==2.0.0
{"language": ["et"], "license": "apache-2.0", "tags": ["k2-fsa", "icefall", "audio", "automatic-speech-recognition"], "metrics": ["wer"], "model-index": [{"name": "conformer-ctc et", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "ERR2020", "type": "audio"}, "metrics": [{"type": "wer", "value": 12.1, "name": "Wer"}]}]}]}
k2-fsa icefall audio automatic-speech-recognition et license:apache-2.0 model-index region:us
TAGS
#k2-fsa #icefall #audio #automatic-speech-recognition #et #license-apache-2.0 #model-index #region-us 




# conformer-ctc et

Icefall conformer-ctc3 based recipe (URL trained Estonian ASR model using ERR2020 dataset
- WER on ERR2020: 12.1
- WER on mozilla commonvoice_11: 23.2

 
For usage:
- clone this repo ('git clone URL
- go to repo ('cd icefall_conformer_ctc3_et')
- build docker image for needed libraries ('URL' or 'URL')
- run docker container ('URL'or 'URL'). 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)

## Intended uses & limitations

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

## Training and evaluation data

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

## Training procedure

Used Icefall conformer-ctc3 based recipe (URL

### Training results


TODO

### Framework versions

- icefall
- k2
- kaldifeat==1.24
- lhotse==1.15.0
- torch==2.0.0
# conformer-ctc et

Icefall conformer-ctc3 based recipe (URL trained Estonian ASR model using ERR2020 dataset
- WER on ERR2020: 12.1
- WER on mozilla commonvoice_11: 23.2

 
For usage:
- clone this repo ('git clone URL
- go to repo ('cd icefall_conformer_ctc3_et')
- build docker image for needed libraries ('URL' or 'URL')
- run docker container ('URL'or 'URL'). 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) ## Intended uses & limitations

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

Trained on ERR2020 data, evaluated on ERR2020 and mozilla commonvoice test data. ## Training procedure

Used Icefall conformer-ctc3 based recipe (URL ### Training results


TODO ### Framework versions

- icefall
- k2
- kaldifeat==1.24
- lhotse==1.15.0
- torch==2.0.0
TAGS
#k2-fsa #icefall #audio #automatic-speech-recognition #et #license-apache-2.0 #model-index #region-us 
 # conformer-ctc et

Icefall conformer-ctc3 based recipe (URL trained Estonian ASR model using ERR2020 dataset
- WER on ERR2020: 12.1
- WER on mozilla commonvoice_11: 23.2

 
For usage:
- clone this repo ('git clone URL
- go to repo ('cd icefall_conformer_ctc3_et')
- build docker image for needed libraries ('URL' or 'URL')
- run docker container ('URL'or 'URL'). 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) ## Intended uses & limitations

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

Trained on ERR2020 data, evaluated on ERR2020 and mozilla commonvoice test data. ## Training procedure

Used Icefall conformer-ctc3 based recipe (URL ### Training results


TODO ### Framework versions

- icefall
- k2
- kaldifeat==1.24
- lhotse==1.15.0
- torch==2.0.0