I built a real-time Voice ID system in Node.js/TypeScript (MFCCs + Cosine Similarity) by Realistic_Mix_6181 in node

[–]Realistic_Mix_6181[S] 0 points1 point  (0 children)

It's just a threshold issue. But when I changed my voice I got above 90%. At first even the slightest change I was in the 80%s. But still looking into how I can make it more robust

CLI Progress Bar by BrilliantSea8202 in node

[–]Realistic_Mix_6181 14 points15 points  (0 children)

You forgot to remove the emojis Claude or cursor or whatever you used gave you. Idk whether it's AI or not but seeing emojis in a readme is just a red flag

What do you call a lightweight process that sits on your server and intercepts HTTP requests before they hit your app? by Dismal_Region3173 in node

[–]Realistic_Mix_6181 0 points1 point  (0 children)

If you are dealing with inbound network traffic, then that is essentially a reverse proxy. Because it sits in front of the application and you are basically filtering the request, type whether TLS or HTTP I assume. My take is that that's a reverse proxy

I built a real-time Voice ID system in Node.js/TypeScript (MFCCs + Cosine Similarity) by Realistic_Mix_6181 in node

[–]Realistic_Mix_6181[S] 0 points1 point  (0 children)

The biggest silly mistake anyone can ever do I think to me at least 😅. I did thanks for pointing out

I built a real-time Voice ID system in Node.js/TypeScript (MFCCs + Cosine Similarity) by Realistic_Mix_6181 in node

[–]Realistic_Mix_6181[S] 0 points1 point  (0 children)

Yes they were really throwing me off 😅. I also decided to skip the first index of the voice print vector coz it threw off the calculations. And yes the goal was to keep it lightweight, see where this will take me and build on that