unltd

Echonest can work with voice but is optimized for music so you might encounter a lot of false positive with it. Check out the echonest board on google. It's a recurring topic.

Shazam Mac osx app is quite powerful. It doesn't only listen to your mic so it will detect the song even when the sound is off. Also it often detects a song playing in somebody's else headphones at our office. Kinda creepy sometimes.

I think I've read on the echonest board that the most common solution is to index multiple pitch variants of the same songs. Apparently that's what Shazam does.

Also the guys from Trax-air.com are doing something pretty similar to you guys but with pitch/bpm bending support.

Great Job !

Could you describe the usecases ? Is it for mixtapes uploaded on youtube by DJs, or Over-The-Air recognition in music festival videos ?

Because Music ( single tracks ) uploaded on youtube is usually already identified so it could be found.

I've worked on the echoprint-codegen algorithm for my current project ( trak.rocks ) and I'm curious about how you reimplemented the matching logic ?

Do you plan to document/opensource you work ?

sure, email me at y{@}mxh{.}fr

the loopz seems to be a cool concept. Still I'm not sure what problem you are solving:the website doesnt help me to understand anything and only the blog post helped.

btw I'm in a similar situation : 34 with 2 kids + one on the way and I'm almost out of money after investing on my 2nd startup. You shouldn't see this as a desperate situation but as a challenge with an opportunity to focus on what really matters ( in your life and in your company ). Good luck ;)

Great Thanks !