Nut-job Conspiracy Theory Ping!
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Posted on 04/30/2014 8:50:12 AM PDT by Lazamataz
Marie Strumolo Burke, a Democrat running for mayor of Belleville, N.J., is allegedly heard on tape ranting about her fear that her village could become a ‘f------ n----- town.’
A candidate for Mayor of a small New Jersey town was caught on tape allegedly spewing a racist rant in which she said she didn’t want her village to become a “f—— n—– town.”
Marie Strumolo Burke, who is running for mayor in Belleville, N.J. as a Democrat, was reportedly heard making the vitriolic comments on a voicemail from 2013, according to NJ.com.
In the voicemail, left by the former chairman of Belleville’s planning board, Sam Papa, on the phone of Councilman Kevin Kennedy, a voice thought to be Burke’s can be heard in the background screaming the angry racist comment.
“This is terrible. This is terrible. This is gonna be a f—— n—– town,” Burke is allegedly heard yelling in the background, as Papa is heard discussing tax changes.
A forensics lab based in Michigan confirmed the voice on the tape was Burke’s, according to NJ.com.
“Now here’s how it goes. She’ll apologize and walk away. Won’t cost her a dime and she’ll get elected”
With 90% of the Black vote.
Just check the population of Vermont.
Most of them would be horrified if minorities started pouring in by the busload.
The most hypocritical state in the union.
.
She’s a Democrat, a member of the long-standing party of racism, so it’s OK.
A real look the other wayer,I think.
wow. just wow.
I have not worked with this biometric signature personally, but I am familiar with others. I know it is used successfully in some areas, for example customer identification by some financial institutions. Scientifically, it seems plausible to me. If I were doing it, I would try doing a combined spectral analysis using FFT on a reference signal (a single word) to get intensity, and frequency as a 2D siganture then compare that with the test signature(s). I’m guessing that this would be so unique that getting above some threshold (e.g. 98% RMS) would be sufficient to identify an individual. In a real world application you wouldn’t be able to match a word per se, so it would proabably require something more general to train on a sampled voice library to compare versus test signal(e.g. neural network or similar classfier).
Nut-job Conspiracy Theory Ping!
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There is a capability to identify voices within about 95%. It’s accepted as forensic evidence in a number of states. Was first accepted in Michigan as far back as the 1960’s.
Never been to North Jersey, eh?
There’s a HUGE disconnect between what we’re talking about. It is difficult enough for a computer to do voice recognition, let alone know who’s voice it is. You also have to account for phone systems changing voice frequencies, background noise, etc...
If that’s the case then they’re accepting voodoo science.
The article doesn’t say the voice was verified by a computer, it says it was verified by a forensics lab.
She’ll probably win in a landslide..................
The dims have a problem....but we wouldn’t want to talk about it
True....but I’m not buying the 95% accuracy of any technique which would require human interpretation.
Actually, I have been banned from owning an NBA team.
It is too embarrassing for me to discuss in polite company.
Turns out that there is another meaning to the term, ‘Black Licorice’.
Who knew.
There is a famous study by Rei [1979] that found untrained subjects were able to correctly identify speakers with an accuracy of about 92% when there was no attempt to disguise and the samples were fifteen seconds or longer. Both of those parameters are satisfied in the instant case. Add regional idioms and accents, Fourier and modulation analysis and experts get over 95% very easily, especially with a sample as long as this one. And humans are MUCH better at it than machines.
Nobody. But that question is a window upon the attitude that got a lot of this nonsense started back in the 50s and 60s. An example is a neighborhood in a town adjoining mine, built in the early 50s as a somewhat upscale subdivision. It is adjacent to the local hospital (in which I was born in 1943, now medical center, greatly expanded). When a couple of black doctors and families of other black hospital workers bought in to the neighborhood, white flight began. Back then, you had to be financially qualified and have a substantial downpayment to get a mortgage, so this was not "trash" moving in. Instead of waiting to see what kind of neighbors the new arrivals would be, many whites immediately put their homes on the market.
This was before blockbusting and panic peddling were declared illegal, so a few unethical real estate agents helped spread fear of a "changing" neighborhood to obtain business. Bottom line, a glut of housing for sale resulted in lower prices, eventually to the point of attracting investors. Too many absentee-owned rentals caused neighborhood decline.
The good news: the proximity to the hospital is attractive to workers there, who are typically pretty well paid, and many investors have taken their profit selling to owner occupants. 80+% black, but steadily improving in quality of life because of people committed to making it so.
This town (Belleville NJ) is right next to mine, separated by a river. Like all towns in NJ (and across the US), due to the negative white birthrate and “white flight”, it faces one of three futures: 1) It will most likely become Hispanic, as the exploding population in NJ (and across the US), 2) it may become black, as they share a land border with Newark (though that section of Newark is very Hispanic), or 3) they may become Asian (either Oriental or sub-continent) - we have some very Asian municipalities here. The woman allegedly in the recording fears the second option because there are no pros to that one; the first and third will keep an area economically viable, while the second dooms it to a typical urban American demise.
“Bellville, NJ borders Newark, NJ. Burke has a legitimate concern.”
See # 59; expect these scenes to play out across the country as formerly white areas look at their non-white futures.
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