Audio2h ago
Apple Optimizes ASR Error Correction Models
Compact seq2seq models trained on synthetic and real audio errors now outperform larger LLMs in speech recognition correction. Apple researchers used cascaded TTS and ASR to build diverse training corpora. This approach reduces latency and hallucinations. Practitioners get a faster, more reliable pipeline for cleaning automatic speech recognition transcripts without sacrificing accuracy.