Beyond the Utterance: An Empirical Study of Very Long Context Speech Recognition

A new study demonstrates that modern AI can now train speech recognition models on audio sequences over an hour long, shattering the traditional 30-second limit. Researchers found performance improves with more context, peaking at a 14.2% relative accuracy gain when using nearly 22 minutes of audio. The breakthrough, enabled by recent hardware and algorithmic advances, shows models effectively use both distant linguistic and acoustic information for better transcription.