Apple researchers developed compact seq2seq models to fix automatic speech recognition errors without the latency of LLMs. The team used cascaded TTS and ASR to build synthetic training corpora. This approach prioritizes realistic error distributions over raw data volume. It offers a faster, more reliable alternative for real-time audio transcription tools.