> Editor’s Note: The claims in this paper have not been verified because the researchers have refused to yield their full dataset and methodology, citing “intellectual property rights,” “the sanctity of the First Amendment,” and “the Wright brothers never had to show their work.” We are publishing their paper here because they won’t stop mailing hard copies in triplicate to our homes and offices. Love it.
Would love to see these folks hijack certain conferences :). Might be good for “science” in the long run
Predicting Best Picture winners using coughs and sneezes
91–100 of 155 posts
Re: Predicting Best Picture winners using coughs and sneezes
#92Earlier quoted context omitted.
Also: > We prefer subtitles over machine-learning-based detection because the presence of a cough in subtitles means it was prominent enough for a person to write it down. Also our postdoctoral fellow was the only one who completed the Tensorflow tutorial. lol
In my experience Closed Captions almost always describe sounds, specially if they happen offscreen or things like the type of background music; Subtitles don't, I assume they expect you can hear the sounds.
As a non-native English speaker who can hear I often see movies and shows with English audio and English closed captions, the redundancy helps me. It happens all the time that the CC tell things that you just can’t hear in the movie.
Re: Predicting Best Picture winners using coughs and sneezes
#93Re: Predicting Best Picture winners using coughs and sneezes
#94> Editor’s Note: The claims in this paper have not been verified because the researchers have refused to yield their full dataset and methodology, citing “intellectual property rights,” “the sanctity of the First Amendment,” and “the Wright brothers never had to show their work.” We are publishing their paper here because they won’t stop mailing hard copies in triplicate to our homes and offices. Love it.
the only reason i checked was because the layout and typography was too pretty for a real journal site :)
<3 pudding.cool
Re: Predicting Best Picture winners using coughs and sneezes
#95Earlier quoted context omitted.
The German word for 'time' is 'Zeit', so that would be 'Zeitgeist' :)
Wouldn't want to leave the joke unexplained now, would we
Re: Predicting Best Picture winners using coughs and sneezes
#96Earlier quoted context omitted.
I don't think it's been underrated, in critics' circles, for 15-20 years or so by now. Since the tales about its production, and the related art, have fully emerged, it has been widely re-evaluated - also because Lynch has gone on to become a bit of a sacred cow after Twin Peaks and his later work.
Twin Peaks was one of my Covid binges. So trippy.
I have only watched a couple of episodes of series 3 but by now I've seen enough Lynch to dread his output, narratively speaking.
Re: Predicting Best Picture winners using coughs and sneezes
#97Re: Predicting Best Picture winners using coughs and sneezes
#98> Editor’s Note: The claims in this paper have not been verified because the researchers have refused to yield their full dataset and methodology, citing “intellectual property rights,” “the sanctity of the First Amendment,” and “the Wright brothers never had to show their work.” We are publishing their paper here because they won’t stop mailing hard copies in triplicate to our homes and offices. Love it.
Also: > We prefer subtitles over machine-learning-based detection because the presence of a cough in subtitles means it was prominent enough for a person to write it down. Also our postdoctoral fellow was the only one who completed the Tensorflow tutorial. lol
Surprised one did, it is a real pain in the arse
Re: Predicting Best Picture winners using coughs and sneezes
#99Earlier quoted context omitted.
Jason Momoa was 100% Jason Momoa. His (lack of) characterisation was so bad I stared at his scenes in disbelief.
To be fair, Patrick Stewart was 100% Patrick Stewart when he played the role.
Re: Predicting Best Picture winners using coughs and sneezes
#100Earlier quoted context omitted.
Also: > We prefer subtitles over machine-learning-based detection because the presence of a cough in subtitles means it was prominent enough for a person to write it down. Also our postdoctoral fellow was the only one who completed the Tensorflow tutorial. lol
In my experience Closed Captions almost always describe sounds, specially if they happen offscreen or things like the type of background music; Subtitles don't, I assume they expect you can hear the sounds.