Audio3h ago
Apple Optimizes ASR Error Correction With Compact Models
Apple researchers developed compact seq2seq models to fix automatic speech recognition errors without the latency of LLMs. They scaled training using synthetic corpora created via cascaded TTS and ASR. This approach prioritizes realistic error distributions over raw data volume. The result offers a faster, more reliable alternative for real-time audio transcription.