| # Tunisian Arabic ASR Model with wav2vec2 | |
| This repository provides all the necessary tools to perform automatic speech recognition from an end-to-end system pretrained on Tunisian arabic dialect | |
| ## Performance | |
| the performance of the mode is : | |
| | Release Version | |WER (%) | CER (%) | | |
| |-----------------|----|---------|---------| | |
| | v1.0 | Without LM |11.82 | 6.33 | | |
| ## Dataset | |
| This ASR model was trained on : | |
| * TARIC : The corpus, named TARIC (Tunisian Arabic Railway Interaction Corpus) has a collection of audio recordings and transcriptions from dialogues in the Tunisian Railway Transport Network. - [Taric Corpus](https://aclanthology.org/L14-1385/) - | |
| * STAC :A corpus of spoken Tunisian Arabic - [STAC Corpus](https://www.researchgate.net/publication/307583782_Spoken_Tunisian_Arabic_Corpus_STAC_Transcription_and_Annotation) | |
| * IWSLT : A Tunisian conversational speech - [IWSLT Corpus](https://iwslt.org/2022/dialect)- | |
| * Tunspeech : Our custom dataset | |
| ## Install | |
| ```python | |
| pip install speechbrain transformers | |
| ``` | |