| ## 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. |