speaker-recognition | A Speaker Recognition System | Speech library

I needed to implement speech 'identification', ie. Guess if the person who is trying to login, is actually him/her, by matching his/her voice. To consider the case, where the app doesn't recognize the person, but the user is himself trying to login, then he may bypass it with a pin, setup during initial settings.

I am using Python and Flask, to build the webapp, and included javascript in the question, so as to know of possible ways in it too. Till now, i read about it from some sources, but i couldn't arrive at a possible solution, on stack overflow, as well as 'few' blog posts.

The best 'possible' solution i could arrive at was Cognitive Speech Services by Microsoft - https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/

I also thought of recording the voice using the Recorder.js, and analyzing at the server end, but couldn't implement it.

So, i wanted a way to implement it on the web app, even a simple gist with a bit of code on using ms cognitive services (i did read pages of the documentation, but it didnt help much), or doing it by python will be helpful.

I'm using android-alize for a speaker identification app. As the documentation says I'm trying to train a model as below,

// Send audio to the system alizeSystem.addAudio(audio);

// Train a model with the audio alizeSystem.createSpeakerModel("Somebody");

But my application crashing with below stacktrace,

I have an UWP application (with NuGet package Microsoft.ProjectOxford.SpeakerRecognition) where I can set enrollment and recognize a speaker.

The question is how to set enrollment phrase. Currently speaker could use only first one "I am going to make him an offer he cannot refuse"

As I can see on example phrase could be set.
But as I can see in documentation - I can get only list of phrases