Could you explain the settings used in VSF to deal with the coloured and moving subs? I didnt think it was possible with the latest batch.
Post your JAV subtitle files here - JAV Subtitle Repository (JSP)★NOT A SUB REQUEST THREAD★
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My first attempt to transcribe from amazon. it's much better than autosub but still not perfect. I am trying to get rid of my reliance on hardcoded Chinese sources. As usual use it only as contextual and fill in the blanks with your imagination.
Thanks! Will check it out right away.
Do you have the original ja-JP version --would be interesting to compare the translation.
VSF: color filters ,I tried many settings but wasn't satisfied with the results ,managed to only get around 100 lines out of 500+. Can you share your conf file from VSF if possible?
Thanks
oops Here is the config file. I used the following 4 colors:
Lab: l:205 a:133 b:100;
Lab: l:216 a:147 b:133;
Lab: l:230 a:94 b:151;
Lab: l:249 a:113 b:159
I tested it on IPX-889 and it resulted quite well --more than 85% complete+correct detection I think.
Hi man, sorry for the inconvenience, but i've been trying hard to lookup that sub, and signup the site, but it need invitation. that's why I try to post in the forum, maybe somebody can help to get that subs.
Thanks anyway
I found a machine (I think) translation for SPRD-1476. I cleaned it up a bit and attempted to correct several time slips on parts of the movie. Anyway enjoy and let me know what you think.
Good job picking up the dialogue over music -- I think it has done a much better job in that condition than Autosub.
As a comprison I ran autosub on the same movie. Here is the ja-JP srt result.
I also ran the NAVER translator on both versions: your aws version and the autosub -just to compare. It looks to me that autosub does a slightly better job in quiet or hiss noise. But AWS does much better job in noisy situatuion.
As a curiosity I also ran pyTranscriber on a portion of the video. I kind of thought pyTranscriber did a better job than autosub though it is supposed to be using autosub as its core engine
There were a few instances where it picked up words that weren't there, usually just single words like yes. Looks like it thinks *some* music is somebody speaking, but not most of it.
Thanks for the info, I observed AWS is much better for these kind of scenes (as in SSIS-434). Next I will run the audio through some filters and try to enhance the dialogues. Sometimes I think it will be much easier to actually learn Japanese.Good job picking up the dialogue over music -- I think it has done a much better job in that condition than Autosub.
As a comprison I ran autosub on the same movie. Here is the ja-JP srt result.
I also ran the NAVER translator on both versions: your aws version and the autosub -just to compare. It looks to me that autosub does a slightly better job in quiet or hiss noise. But AWS does much better job in noisy situatuion.
As a curiosity I also ran pyTranscriber on a portion of the video. I kind of thought pyTranscriber did a better job than autosub though it is supposed to be using autosub as its core engine
BTW @mei2 your filters for VSF are certainly better and do capture a lot more subs but it captures a lot of it partially . I mean one dialogue would span over 4 images due to the transition they have put . But thanks anyway I will try to tweak the other parameters when I get some time this weekend.
I found a machine translation for HUNTA-632. I tried to clean it up and have posted it for your enjoyment and let me know what you think. OMG it was a 4 hr movie and I must have spent at least that much time just trying to clean it up. I can't even imagine doing one from scratch!
Thanks for the info, I observed AWS is much better for these kind of scenes (as in SSIS-434). Next I will run the audio through some filters and try to enhance the dialogues. Sometimes I think it will be much easier to actually learn Japanese.
BTW @mei2 your filters for VSF are certainly better and do capture a lot more subs but it captures a lot of it partially . I mean one dialogue would span over 4 images due to the transition they have put . But thanks anyway I will try to tweak the other parameters when I get some time this weekend.
Hang in there, I think speech recognition tech right now is already up to the task of creating a good subtitle. I think it's just the big techs (google, MS, Apple, Amazon) that intentionally put some limitations to it. The translator apps in smart phones have no problem translating (even in busy street) but suddenly got dumb down when it detect it's a movie.
As promised, ENGLISH subtitle of MIDD-848. Shoutout to @rickson for helping me download it. cheers
RKI 100, PPPD 114, MIXS 006, MIDD 893, JUFD 156, EBOD 109, DLD 016
Again tnx to @rickson for helping me.
Again tnx to @rickson for helping me.
My all time favorite i had to get this translated
so i did, please enjoy. Final scene was amazing.