Whisper is a 30-second-window transformer encoder-decoder, trained on 680k hours of multilingual weakly-supervised audio-text pairs. One architecture, multiple tasks, robust across 99 languages. The 2026 reference ASR.
Whisper, released by OpenAI in September 2022, was the first ASR model to ship as a commodity: paste audio, get text, 99 languages, robust to noise, runs on a laptop. By 2024 OpenAI had shipped Large-v3 and Turbo variants; by 2026, Whisper is the default baseline for everything from podcast transcription to voice assistants to YouTube subtitles.
But Whisper is not a pipeline you can treat as a black box forever. Domain shift kills it — technical jargon, speaker accents, proper nouns, short clips, silence. You need to know:
What it actually is inside.
How to give it chunked, streaming, or long-form audio correctly.
When to fine-tune and how.
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