Revisiting ASR Error Correction with Specialized Models

Apple researchers have developed a specialized language model designed to correct errors in automatic speech recognition by accounting for common transcription patterns. Unlike generic large language models that often introduce latency or hallucinations, this targeted approach aims to improve accuracy without the computational overhead of broader AI systems.