dailyai.report

Apple researchers used compact seq2seq models to fix automatic speech recognition errors without the latency of LLMs. They generated synthetic training data by cascading TTS and ASR systems to mimic realistic error patterns. This approach reduces hallucinations during text correction. Practitioners can now implement more efficient, specialized decoding for real-time audio transcription tasks.