Hi ProductHunt, I'm the CEO&Co-Founder of 2Hz.ai, the maker of Krisp app.
@ozgrozer could you please list me and @artavazd_minasyan as Makers?
This has been an accidental launch for us and caught us by surprise. We are very excited with it though!
Krisp is using Deep Learning to separate background noise from human voice in real time. This is the first deployment of DNN based noise cancellation in laptops. And I must say the quality is quite amazing.
Currently the App is only available on Mac. Windows version will come very soon.
You can use Krisp with any Conferencing app and headset of your choice.
Please download it, start using and share your feedback here.
We will be happy to answer all your questions.
@davit_baghdasaryan Is there any compression or degradation of sound quality with this? I'm wondering if it could be any use as a filter when recording vocals for music e.g. for small time musicians recording at home, limiting the need for soundproofing.. or for podcasters.
@davit_baghdasaryan Having a "non-human voice filter" is defo very helpful. My other pain when using VoIP is the echo on meeting rooms. Is Krisp able to reduce the room echo/reverb?
@ricardo_a_muacho most VoIP solutions successfully address echo. There is only one situation where echo is still unsolved. Thats when there are multiple mics (laptops) in the same room and network latency is high.
What's more interesting is reverberation. Yes, Krisp will solve it soon. We are working on it.
What it does is a magic. It has two modes. The first one does noise cancellation of your speech those sending only your voice to the recipients and does it really really well. The second mode does the opposite. I'm using it for about a week on daily basis.
This is perhaps a weird usage but would this improve the quality of my tutorial/course video's audio? It doesnt seem to be one of the applications of the tech?
@baadier that's right it will work. However please keep in mind that Krisp is currently better suited for call as it uses 16kHz sampling rate. For tutorial videos you might want to use higher sampling rate. 44kHz support is in our roadmap.
@davit_baghdasaryan First of all LOVE THIS! It's about time :).
I've been using the app for the past few days I've noticed voice sounds are a bit more round/muted. I'd imagine much of your work has centered around filtering out background noises by classifying between human voice/ background noise. Have you/do you do anything to enhance the signal coming come voice and add back sounds that make voice sounds sharper/more human?
Logical extension: have you ever thought about improving the clarity of speech? For example correcting things like poor connection, mumbling, heavy accents, etc.. I'm thinking something like a GAN to propose an even better version of the sound?
@daflatow This is a great observation. Of course we are aware of that problem.
In fact improving overall clarity of speech is our company's mission (2hz.ai).
We thought that background noise is the first thing we should start with and I think we did a great job there. Enhancing signal bandwidth is another thing we plan to deploy soon (16kHz->48khz). And finally making the signal sharper will be the ultimate improvement.
I must say that each one of these problems is really tough though.
Applying GAN sounds very interesting.
@davit_baghdasaryan Brilliant. Just read more on your site -- excellent approaches on all fronts. Last Q: Have you ever thought about utilizing an additional mic? For example your phone mic (when on computer) via companion app. When I thought on this problem that was the easiest thing I came up with. I'd imagine you'd get a lot of benefit from an additional signal in the same room one closer to the source you want to filter and one closer to the signal you want to enhance. If you do it can you pls call it binauribus? haha
@davit_baghdasaryan yeah makes sense -- turns it more into an eng problem. Given background noise is relatively constant tho, might be a useful lagged variable. Also might be valuable for creating an offline "golden" data set for future training / experimenting. Anyway... super cool stuff. Thanks for taking my Qs!
This is really cool. I've been looking for something like this for some time now and was about to create it myself!
What's your tech stack and how long did it take to create?
@sophia_arakelyan thanks. We are putting lots of effort in improving the core value of the product - that is voice audio quality improvement and usability.
There are also some very cool features in the roadmap. Stay tuned.
Great ! appriciate your harwork that you have done a great job. it is very helpful and there is a great experience in the field of Internet, which will prove to be of everyone's Interest.
Congratulations 2Hz team with the release. Impatiently waiting for the next meeting call to test it.
The demos are really amazing.
If it really works as promised, our customer success team will be happy to use it with the clients.
Do you have an ETA for iPhone or Android release?
@armen_mkrtchian would be awesome if your customer success team to tries it.
Unfortunately iPhone/Android are not in the roadmap yet. There are integration challenges on mobile architecture.
Krisp
Krisp
Krisp
Krisp
Krisp
What it does is a magic. It has two modes. The first one does noise cancellation of your speech those sending only your voice to the recipients and does it really really well. The second mode does the opposite. I'm using it for about a week on daily basis.
Pros:The best noise cancelling tool out there
Cons:Only available on mac OS
Krisp
Krisp
Krisp
Krisp
Krisp
Chirp
Corkdork
Krisp
Definitely give a try
Pros:Awesome app, clears the noise during the calls, had been alpha user, the app constantly gets better each week.
Cons:There was high CPU usage, but the consumption got less during the last weeks
Krisp
Krisp
Krisp
DarwinMail 💌
Krisp
Bugout
Krisp
Livestorm
Krisp
Krisp
Krisp
Prelaunch.com
Sendtask
Krisp