mms-300m-aydid-did

MMS-300m — Yemeni Sub-Dialect Identifier (AYDID)

MMS-300m fine-tuned on the AYDID corpus for 7-class Yemeni Arabic sub-dialect identification: Adeni, Badawi, Hadrami, Sana'ani, Ta'izzi, Tihami, and Standard Yemeni.

• Base model: badrex/mms-300m-arabic-dialect-identifier
• Dataset: mansoorSaleh/AYDID
• Task: audio classification (dialect ID)

Result

On the balanced AYDID test set (375 utterances/class), fine-tuning raises weighted F1 from a zero-shot 11.45% to 80.44% (+68.99 points).

Usage

import torch, librosa
from transformers import AutoFeatureExtractor, AutoModelForAudioClassification

model_id = "mansoorSaleh/mms-300m-aydid-did"
fe = AutoFeatureExtractor.from_pretrained(model_id)
model = AutoModelForAudioClassification.from_pretrained(model_id).eval()

wav, _ = librosa.load("clip.wav", sr=16000)
inputs = fe(wav, sampling_rate=16000, return_tensors="pt")
with torch.no_grad():
    logits = model(**inputs).logits
pred = logits.argmax(-1).item()
print(model.config.id2label[pred])   # e.g. YEM_HA

Labels

YEM_AD Adeni · YEM_BA Badawi · YEM_HA Hadrami · YEM_SA Sana'ani · YEM_ST Standard · YEM_TA Ta'izzi · YEM_TI Tihami

Citation

@inproceedings{aydid2027,
  title     = {AYDID: A Sub-Dialectal Yemeni Arabic Corpus for Dialect
               Identification and Speech Recognition},
  author    = {Ba Mahel, Mansoor S. M. and Wei, Jianguo and Yue, Xianghu and
               Awn, Norah Saeed and Bamahel, Abdulaziz S.},
  booktitle = {Proc. IEEE ICASSP},
  year      = {2027}
}

License: CC BY-NC-SA 4.0 (research use).