Incorporating Error Level Noise Embedding for Improving LLM-Assisted Robustness in Persian Speech Recognition
Published:Dec 19, 2025 05:26
•1 min read
•ArXiv
Analysis
The article focuses on improving the robustness of Persian speech recognition using Large Language Models (LLMs). The core idea is to incorporate error level noise embedding, suggesting a method to make the system more resilient to noisy or imperfect input. The source being ArXiv indicates this is likely a research paper, detailing a novel approach to a specific problem within the field of AI.
Key Takeaways
Reference
“”