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license: apache-2.0 |
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# Tunisian Arabic ASR Model with wav2vec2 and code switching |
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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 |
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## Performance |
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the performance of the mode is : |
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| Release Version |WER (%) | CER (%) | |
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|-----------------|---------|---------| |
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| v1.0 |29.47 | 12.44 | |
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## Pipeline |
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The architecture comprises three components: |
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* French ASR pretrained with wav2vec2 on french corporas |
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* English ASR pretrained with wav2vec2 on english corporas |
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* Custom Tunisian ASR pretrained using wav2vec on a tunisian arabic corpora |
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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. |
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## Install |
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```python |
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pip install speechbrain transformers |
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``` |
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