(archive site)

Joke-O-Mat Demos

Joke-O-Mat v1 Demos (2009)

To contrast human and machine performance, we created two demos: One where the acoustic-event identification and speaker identification were based on manual annotation (only scene segmentation was automatic), and one where all of the narrative elements were identified using a fully automated process. These Java applets were developed under Linux with Firefox.

Automatic Seinfeld:

The Turing Test — Human vs. Machine:

Which one do you like better?

It’s Not Just About Seinfield:

These applets require a Java-compatible browser with Java 1.4 or higher — which unfortunately does not include Chrome for the Mac. Please be patient; the Joke-O-Mat experience starts with downloading the video content (about 30MB), and sometimes the navigation bar takes a few moments to load all of its many useful features.

Joke-O-Mat HD Demos (2010)

Continuing our comparison of human, machine, and human-and-machine performance, we created three demos for the upgraded Joke-O-Mat 2010 with keyword filtering. The first was generated by using human-derived textual data — i.e., fan-sourced transcripts and closed captioning — aligned with automatically identified narrative elements. The second was generated fully automatically, including using automatic speech recognition (ASR) to create a transcript, and the third was generated using expert human annotations of acoustic events and speaker identifications (but no word-by-word transcription).

Using Humans as Data Sources:

Tangled Turing — Human or Machine vs. Human-and-Machine:

These applets require a Java-compatible browser with Java 1.4 or higher — which unfortunately does not include Chrome for the Mac. Please be patient; the Joke-O-Mat experience starts with downloading the video content (about 30MB), and sometimes the navigation bar takes a few moments to load all of its many useful features.

Emergency Joke-O-Mat:

Notifications

Disclaimer: The software is provided as is; use it at your own risk.

Copyright Information:The Joke-O-Mat Browsers and associated explanatory text are copyright (c) 2009, 2010, 2013 by the International Computer Science Institute. The episodes of Seinfeld, I Love Lucy, and The Big Bang Theory used in our demos are copyrighted by the respective copyright holders. The excerpts are used here solely for the purpose of demonstrating nonprofit scientific research. Please do not illegally use or distribute copyrighted content.