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Curated tech posts from X on AI, startups, and product development—signal without the doomscroll, updated on weekdays.
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Cutting down noise before sending the audio to a speech-to-text model makes a huge improvement. Voice isolation is the next big thing you want to pay attention to. Krisp just released an open benchmark and a dataset to measure the impact of voice isolation on STT accuracy. The results are eye-watering: 73% reduction in WER across 265 real recordings and 11 speech-to-text configurations. This compares an original recording with a voice-isolated version. Here are the results with voice…
