Re: Aggression Detection



annina wrote:
Hello,

At the request of a friend I started a project to detect aggression in
workplace meeting situations using voice processing

"Everyone starts out calm, but then an idea will be debated. Some
debaters are under the impression that the loudest, most aggressive
argument will win. So they start to yell. Gradually, the noise increases
from discussion to yelling, because others feel as if they need to yell to
be heard over the din of the original yeller."

Research suggests that the three best cues for verbal aggression are
fundamental frequency (, the ratio of signal energy below and above 1000 Hz
(RE), and the standard deviation of the energy of the three highest peaks
in the spectrum.

I have started to write some matlab scripts that look at frequency ranges
over time and now using those to look at recordings of angry vs. non-angry
conversations.

1. The whole idea seems flawed because of the oversimplification.
How about approaching the simpler task of the automatic spam detection? Or parsing the newsgroups traffic and sorting out the idiots?

2. Even if it could detect aggression, what would you do then? Call 911, engage the water sprinklers?

3. The really dangerous people are those who don't talk much.

I was wondering if anyone is doing something similar and/or would be
willing to share code that would help in the endeavor of aggression
detection in work meeting environments as described above.

Detecting aggression requires the special speech recognition engine with AI. Even if you have all of that, the success rate is very questionable.


Vladimir Vassilevsky
DSP and Mixed Signal Design Consultant
http://www.abvolt.com
.

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