Hello, my name is Martin and I will be presenting the Who Is Speaking speaker dimerization web app.
What is the Who Is Speaking web app? This web app processes audio files in either an upload format,
which is a static audio file, or a video file, or the live format,
which is a live stream of a microphone audio. In a static format, you simply upload a video
and then you determine who was speaking over the course of the entire audio file. In the live
portion, you have a live stream of the microphone and it takes who is speaking in real time.
Now we're going to do a quick demo of the who is speaking speaker dimerization app
to other people in the room. So I'm going to click on Start stream that now it's going to begin the
speaker dimerization method. As you can see, I am then detected a speaker 0 and I can keep speaking.
Now we're going to have Zoe keep on talking and have her speaker. I need a second as well.
So this is Zoe and listen, speak or to speak into is now speaking. That is happening. And we
can actually talk at the same time as well. Yeah, and we could be overlaps, overlaps.
Now we can also have another voice is really actually all three of us at the same time.
Now, to give some context to our speaker and dimerization app, I will show you the graph a
little bit. As you can see, here, is a bar chart of all the seconds I speak. If I stop speaking,
than the bar chart stops growing since I'm no longer speaking. So the seconds again do not
increase. The line graph shows the location at which I'm speaking right now I am alone.
We only have speaker 0. But as you saw previously, you can also have speaker one, speaker two,
and even two more speakers that we were unable to get. You can also press Stop stream to stop the
stream and no longer record your audio. I will now present the final portion of our web app which the
static speaker detection. Here, we can drag and drop a file or browse the file. As you can see,
this shows our file system. I'm going to drag and drop in this instance and copy three dot mp3,
which is a discussion I had with one of my friends. Are you hungry today? Hi Martin.
I am hungry today. Actually, I'm very hungry. I would love some food. Okay. Well,
I'll make some food, but I'm not sure if you want some. What do you want to eat today? I think
we can set the number of speakers here to the amount of people that are speaking
to two for greater accuracy. But in this case we're going to do automatic clustering so we
will not set the number of speakers. Now we click on Upload. And after a couple of seconds,
we will then have the detected number of speakers and a timeline for the people
that spoke and when they spoke and the amount of time that they spoke. Thank you.