  The popularization of science can often be disregarded by scientists as it
may be challenging to put highly sophisticated research into words that general
public can understand. This work aims to help presenting speaker recognition
research to public by proposing a publicly appealing concept for showcasing
recognition systems. We leverage data from YouTube and use it in a large-scale
voice search web application that finds the celebrity voices that best match to
the user's voice. The concept was tested in a public event as well as "in the
wild" and the received feedback was mostly positive. The i-vector based speaker
identification back end was found to be fast (665 ms per request) and had a
high identification accuracy (93 %) for the YouTube target speakers. To help
other researchers to develop the idea further, we share the source codes of the
web platform used for the demo at
https://github.com/bilalsoomro/speech-demo-platform.
