davitb

This is for listener-side, not speaker-side. So no misuse case here.

A small, audio-only turn-taking model from Krisp

The hard part is to separate background voices (e.g. TV, chatter, etc) from the primary speaker's voice. Basically do voice isolation. Voice fingerprinting would help only in this context.

On average, an hour of speech contains about 9,000 to 15,000 words. This range accounts for different speaking speeds, which typically vary from 150 to 250 words per minute.

So this translates to tens of millions of words.

In the last 3 months our team worked hard to build Krisp Chrome Extension.

We had to squeeze our noise cancellation DNN 30x to fit it inside Chrome.

This was quite challenging and thought it’s a story worth sharing.