## Model Overview

This model is a Morse Code recognition model. It was trained with the package at https://github.com/1-800-BAD-CODE/MorseCodeToolkit.

For inference, only the base NeMo package needs to be installed because this is just an ASR model trained to decode Morse code signals rather than speech signals.

## How to Use this Model
With NeMo is installed, this model can be used to run inference on Morse code audio files.

### Automatically instantiate the model

```python
import nemo.collections.asr as nemo_asr

asr_model = nemo_asr.models.ASRModel.from_pretrained("1-800-BAD-CODE/morsecode_en_quartznet_10x5")
```

### Transcribing using Python
First, let's download an example Morse code audio file from Wikipedia:

```
wget https://upload.wikimedia.org/wikipedia/commons/0/04/Wikipedia-Morse.ogg
```

Then simply do:
```
asr_model.transcribe(['Wikipedia-Morse.ogg'])
['WELCOME TO WIKIPEDIA, THE FREE ENCYCLOPEDIA THAT ANYONE CAN EDIT.']
```

## Limitations
This model was trained on synthetic Morse code data generated by https://github.com/1-800-BAD-CODE/MorseCodeToolkit. Any Morse code generated with parameters outside of the range of the parameters used to generate the training data will not be well recognized by the model.