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license: apache-2.0 | |
# Tunisian Arabic ASR Model with wav2vec2 and code switching | |
This repository provides all the necessary tools to perform automatic speech recognition from an end-to-end system pretrained on Tunisian arabic dialect. This model utilizes a code_switching approach and can process english , french and tunisian arabic | |
## Performance | |
the performance of the mode is : | |
| Release Version |WER (%) | CER (%) | | |
|-----------------|---------|---------| | |
| v1.0 |29.47 | 12.44 | | |
## Pipeline | |
The architecture comprises three components: | |
* French ASR pretrained with wav2vec2 on french corporas | |
* English ASR pretrained with wav2vec2 on english corporas | |
* Custom Tunisian ASR pretrained using wav2vec on a tunisian arabic corpora | |
All three models will process the audio data. Subsequently, the resulting posteriorgrams will be combined and utilized as input for the Mixer, which will produce the final posteriorgrams. | |
## Install | |
```python | |
pip install speechbrain transformers | |
``` | |