ADI-whisper-ADI17

Install Requirements

Clone the ADI-20 github repository:

git clone https://github.com/elyadata/ADI-20
cd ADI-20
pip install -r requirements.txt

Note on SpeechBrain

While you can use the pipy version of Speechbrain included in the requirements.txt in the ADI-20 github repository, you may also install it from source using the following command:

pip install git+https://github.com/speechbrain/speechbrain.git@develop

Perform Arabic Dialect Identification

from inference.classifier_attention_pooling import WhisperDialectClassifier

dialect_id = WhisperDialectClassifier.from_hparams(
    source="Elyadata/ADI-whisper-ADI17",
    hparams_file="hyperparams.yaml",
    savedir="pretrained_DID", 
    run_opts={"device": "cuda"} # If using a GPU (recommended).
    )

out_prob, score, index, text_lab = dialect_id.classify_file("your_file.wav")
print(f"Predicted dialect: {text_lab[0]}")
print("-" * 15)
print(f"Dialect index: {index}")
print(f"Score: {score}")
print(f"Output log probs: {out_prob}")
print("-" * 15)

NADI 2025

We have also used the ADI-20 version of this model for dialect identification task in the NADI 2025 challenge and ranked first:

For more information on how we used the model, you can refer to:

• Our system paper: arXiv, ACL Anthology
• NADI findings paper: arXiv, ACL Anthology

Citations

If using this work, please cite:

@inproceedings{elleuch25_interspeech,
  title     = {{ADI-20: Arabic Dialect Identification dataset and models}},
  author    = {Haroun Elleuch and Salima Mdhaffar and Yannick Estève and Fethi Bougares},
  year      = {2025},
  booktitle = {{Interspeech 2025}},
  pages     = {2775--2779},
  doi       = {10.21437/Interspeech.2025-884},
  issn      = {2958-1796},
}

@inproceedings{elleuch-etal-2025-elyadata,
    title = "{ELYADATA} {\&} {LIA} at {NADI} 2025: {ASR} and {ADI} Subtasks",
    author = "Elleuch, Haroun  and
      Saidi, Youssef  and
      Mdhaffar, Salima  and
      Est{\`e}ve, Yannick  and
      Bougares, Fethi",
    booktitle = "Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.arabicnlp-sharedtasks.105/",
    doi = "10.18653/v1/2025.arabicnlp-sharedtasks.105",
    pages = "762--766",
    ISBN = "979-8-89176-356-2",
}