ASR data pairs diverse audio with precise text. Build speech-to-text models with 1,000+ hours of data, or fine-tune models like Whisper with 10-100 hours. Speech recognition training data is transcribed audio paired with verified text transcripts, used to train speech-to-text models. Every ASR system, from Whisper to production engines at Deepgram and AssemblyAI, learns by mapping audio signals to the words spoken in those signals. The training data provides this mapping.