ListenX

Medium

Speech Recognition Model

Speech-to-Text

What ListenX Medium Does

ListenX Medium is an advanced speech recognition model designed for accurate transcription across multiple languages and accents. Built on state-of-the-art transformer architectures, it delivers exceptional accuracy while maintaining reasonable computational requirements.

This model strikes the perfect balance between accuracy and performance, making it ideal for real-time transcription, voice assistants, and automated captioning systems.

Key Features

•
High Accuracy – 95%+ word accuracy across multiple languages
•
Real-time Processing – Low latency for live transcription applications
•
Multilingual Support – Supports 20+ languages including Arabic and English
•
Noise Robustness – Performs well in noisy environments

System Requirements

GPU Memory

Model Size

~800MB

Latency

~100ms

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-Medium")
processor = AutoProcessor.from_pretrained("tokenaii/ListenX-Medium")

# Load audio file
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-Medium",
    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):

VRAM (GB)

CPU Cores