ListenX
LargeHigh-Performance Speech Recognition
Speech-to-TextWhat ListenX Large Does
ListenX Large is our flagship speech recognition model, delivering state-of-the-art accuracy for professional and enterprise applications. With enhanced capacity and advanced training techniques, it achieves near-human-level transcription accuracy across diverse acoustic conditions.
This model is optimized for scenarios where accuracy is paramount, such as medical transcription, legal documentation, and high-stakes business communications.
Key Features
- •Exceptional Accuracy – 98%+ word accuracy in optimal conditions
- •Advanced Noise Handling – Superior performance in challenging audio environments
- •Extensive Language Support – 30+ languages with dialect recognition
- •Domain Adaptation – Fine-tuned for medical, legal, and technical vocabulary
System Requirements
GPU Memory
16GB+
Model Size
~1.5GB
Latency
~200ms
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-large")
processor = AutoProcessor.from_pretrained("tokenaii/listenx-large")
# 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-large",
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):
