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Every call that goes through Krisp Voice Isolation costs a small slice of CPU time. When you run thousands of calls at once, those slices are your server bill. So we asked a simple question: how many live calls can one server clean, and what is the cheapest way to raise that number?
Over three months our QA team recorded in open-plan offices, on four working call-center floors, and from the front seats of moving cars, so that a benchmark for background speech would be made of real rooms instead of synthetic mixing. Here is how it actually went.
Speech recognition has become very good at noise. It has not become good at a second person talking. We recorded 265 real conversations with a competing voice in the room, labeled every segment by hand, and measured what happens to eleven speech-to-text systems with and without Krisp Voice…
Modern STT models don’t handle competing voices well VIVA is a collection of real-time AI models for voice agents, including Voice Isolation (VI), turn-taking, and interruption prediction.
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