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~/notes / whisper-turbo-vs-large-on-noisy-audio

Whisper's turbo model beat large on noisy audio, in practice

Building the Video Translator , the assumption going in was that OpenAI Whisper’s larger model would transcribe more accurately. In practice, on clips with loud background music, the turbo model did noticeably better than large — it seems to tolerate messy audio better rather than just being a faster, lower-quality option. Separating vocals from background music first (with demucs) didn’t help as much as expected either; Whisper handled the mixed track better on its own. Worth trying turbo first rather than assuming bigger is more accurate.