Adrian J Cotterill, Editor-in-Chief
Krisp’s smart noise suppression technology, which emerged from UC Berkeley’s Skydeck accelerator a few years ago has just raised USD 5M in a series A funding round.
Krisp applies a machine learning system to audio in real time that has been trained on what is and isn’t the human voice. What isn’t a voice gets carefully removed even during speech, and what remains sounds clearer. There’s a very small latency – they claim 15 milliseconds and there’s a modest computational overhead, meaning it can work on practically any sort of device.
Storm Ventures, Sierra Ventures, TechNexus and Hive Ventures all took part in the funding.
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