alaatiger989/Arabic_Finetuned_ASR_Nemo

🔊 Arabic FastConformer Hybrid – Finetuned for Gulf & MSA

One-liner inference & ready-to-use Docker API
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📌 Model Card

| Base model | NVIDIA stt_ar_fastconformer_hybrid_large_pc | | Fine-tuning data | 2 000+ hours synthetic + real Gulf & MSA speech | | Vocab | 1 024 BPE sub-words (Arabic + English digits) | | WER (eval set) | 6.7 % | | CER (eval set) | 2.9 % | | Accuracy | 93.3 % | | Sample rate | 16 kHz mono |

🚀 5-Second Inference

from nemo.collections.asr.models import EncDecHybridRNNTCTCBPEModel

model = EncDecHybridRNNTCTCBPEModel.restore_from("alaatiger989/Arabic_Finetuned_ASR_Nemo")
transcript = model.transcribe(["my_audio.wav"])[0][0]
print(transcript)  # -> "محمد أحمد عبد الرحمن"