ListenX-eg
Egyptian Arabic Speech Recognition
Speech-to-Text
DownloadWhat ListenX-eg Does
ListenX-eg is a specialized speech recognition model specifically trained and optimized for the Egyptian Arabic dialect. Understanding the unique phonetic characteristics, vocabulary, and expressions of Egyptian Arabic, this model delivers exceptional accuracy for Egyptian speakers.
Perfect for applications targeting the Egyptian market, including customer service, voice assistants, content creation, and accessibility tools for the Arabic-speaking community.
Key Features
- •Dialect-Specific – Optimized for Egyptian Arabic phonetics and vocabulary
- •High Accuracy – 96%+ accuracy for Egyptian dialect speakers
- •Colloquial Understanding – Recognizes slang, idioms, and everyday expressions
- •Real-time Processing – Low latency for live applications
System Requirements
GPU Memory
8GB+
Model Size
~600MB
Latency
~120ms
How to Use
Load and Use the Model
"keyword">from transformers "keyword">import AutoModelForSpeechSeq2Seq, AutoProcessor
"keyword">import torch
# Load model and processor
model = AutoModelForSpeechSeq2Seq.from_pretrained("tokenaii/listenx-eg")
processor = AutoProcessor.from_pretrained("tokenaii/listenx-eg")
# Load audio file (Egyptian Arabic speech)
audio_input = processor(audio_file, sampling_rate="number">16000, return_tensors="pt")
# Generate transcription
"keyword">with torch.no_grad():
predicted_ids = model.generate(**audio_input)
transcription = processor.batch_decode(predicted_ids, skip_special_tokens="constant">True)
print("Transcription:", transcription["number">0])Download the Model File Only
"keyword">from huggingface_hub "keyword">import hf_hub_download
# Download the model file "keyword">from the repo
model_path = hf_hub_download(
repo_id="tokenaii/listenx-eg",
filename="pytorch_model.bin"
)
print("Model downloaded to:", model_path)Can I Run This Model?
Enter your system specifications to check if you can run this model (functionality coming soon):