Talkie | Responsive scaling | Frontend Framework library

This is very early stages therefore no code, but some architecture questions maybe.

Im looking into trying to create a walkie-talkie functionality from ex a desktop-application or android application can send its audio to a server and that server then distributes the stream of audio to all clients.

My issue is that we are talking about both WIFI and LTE/4G network so has to work over the internet, and in theory should be possible to push audio from 1 to 1000 clients ( or select clients )

A small delay from speaker to its distributed isnt a big problem since its only one way communication ( not a like a phone with two way communication ).

Alot of questions arise here, mostly about size and speed :

1. primary thing im considering if i need to talk out to 1000 clients ( as in many many clients ) at the same time, i assume those 1000 clients all need a few sockets that is connected to the server, and therefore probably have to split it over more than one server to handle such kind of load ? ( i dont know ).

2. signalling part - would it be possible at all to have a signalling service handling that many clients ? ( assume the signalling needs also a constant connection to the server to be able to react when theres a audio-stream coming out, as it has to be fairly quick to react when someone speaks )

3. the protocols i have looked into on an overall perspective are SIP for signalling and RTP over TCP for transport, alternatively looked briefly at XMPP and fun-XMPP for inspiration, and in theory i can see it work on a small scale but my brain breaks when i try to imagine it on a large scale.

Core architecture was ex having a server handling SIP for signalling and keeping track of clients ( if SIP is fast enough/real-time enough which i am in doubt of ) - and then a transport server that the client would connect to with its audio-stream and then that server would channel that data out to all clients through the connection made when SIP recognizing someone is 'calling' them.

Side-question to this would be that i would like to have Go as back-end to manage this routing of data to all clients as a kind of media streaming server - but not sure if its fast enough ?

Maybe i am am totally wrong with the approach and protocols - maybe a way better approach then also interested in what you would suggest instead.

I am developing a push to talk app and I searched for possible protocols I can use. Those were H.323, MGCP and SIP. Also I came to know that the SIP is dominant over H.323 when it comes to the scalability but, I could not find anything that compares SIP and MGCP such that we can decide a clear winner. Since this is a mobile app, the scalability should be there as well as the security. Can you help me providing your valuable thoughts?

1. Implementation of channel concepts.
2. Notification generation to the user about channel activity.
3. Implementing the push button activity(Walkie-Talkie style communication).
4. Containerized server deployment.

are the main requirements of this App. Thank you!

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,,,

I am developing a conference system where all the phones are connected to each other via google nearby services api. I have followed the tutorial of google walkie talkie from this link: https://github.com/googlesamples/android-nearby/tree/master/connections/walkietalkie in this tutorial the person must press volume key to talk. What I want is that the person should not press the voulume key but when he starts to talk it should stream the voice. For this I followed the following link: Voice Detection in Android Application but when I test it the voice is breaking and not able to listen exactly what other person is saying. I have tested RECORDER_SAMPLERATE with 8000 and also with 44100 but no success. Also I want my mic to only stream the voice that is coming from 10 cm only. E.g if the person is talking in 10 cm it should stream the voice and the person talking next to him and he is far than 10 cm mic should not catch his voice.

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inside Activity.class

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MainActivity.java