Post your JAV subtitle files here - JAV Subtitle Repository (JSP)★NOT A SUB REQUEST THREAD★
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I stripped the audio into a mp3 file as normal from a reduced mosaic version of WAAA-501 and created this Sub with WhisperJAV0.7. Although some missing dialog but looks pretty normal Whisper Sub to me. Attached is the "raw" Sub with no editing.
PS: After watching the video a bit, I noticed some of the text has a very short duration time and is not seen in real time while watching the movie with the Sub. Suggest increasing the min duration limit to at least 2 seconds.
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There's a lot of dialogue in the first half hour, you have 3 lines in the first half hour.
The file is only 10kb as well, I got 18kb worth of text out of it. It's how I immediately noticed something was off as well. I've downloaded the 4k version just now, see if anything changes but I doubt it, it's in the queue, will take a bit.
I've tried different VAD's on it (with super low VAD sensitivity) and also a different voice extraction method, it didnt change much. Will try it again on the the 4k version
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We peobbaly need to take this conversation to another thread so we don't hi-jack the main theme. The work that you're planning to do (and doing) is quite valuable and deserves more attention. I will spend more time on it during the weekend, but I thought of doing a quick exploration into your first set of the subs by running some stats on them. Here are some interesting stats:
(1) Hallucination: Your de-halluicnation seems to have worked quite well for known phrases. There doesn't seem to be too many of those occuring in the majority of the files:
(2) Quality: Looking at the characters per seconds (CPS) metric can give an indication of the quality of the timing, or the sub. That can be one way of measuring the quality of a sub. I'd say anything below 10 and higher than 20 might be not optimal.
(3) Quality: Another metric I looked at was for repetition. One metric can be Type-Token Ratio (TTR). This is a bit difficult metric for JAV (or any porn movie), as the vocabulary is not that vast
However, one doesn't want the TTR to be too close to 0. That can indicate problems in Whisper output like repetition loop. 
These are just dumb stats with no knowledge of the genre, or type of movies. So it must be taken with grain of salt. It would be interesting to run the stats for each separate genre or series to see what are the characteristics.
You are right...there is definitely something squirrely about WAAA-501! Think I have wasted enough time on it too! lol
Not sure what's going on with WAAA-501, but I tried both the decensored version and a version with hardcoded Chinese subs and they had the same issue. 3 lines of text and then nothing more for a very long time.
So either there's something weird going on with the original soud, or the various different versions out there are all from the same corrupted source.
So either there's something weird going on with the original soud, or the various different versions out there are all from the same corrupted source.
You're right. It seems that there is something very wiered about its audio coding. When the audio is converted to mono 16KHz audio, it looses almost all its waveform (see below). That is the cause of the problem with subtitling --Whipser uses mono 16KHz wav audio.
Original waveform:
After mono resampling:
I am now trying to find a workaround. Will update later.
I'm currently running whisper on only the left channel and it seems to be working. I guess it is possible you'll miss some conversation because it is only on the right channel, so if you want to be sure I guess run it twice, once for each side. However, conversation tends to be on both channels so I'm not sure whether it's worth the extra effort.
Haha ...
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Here is my sub for WAAA-501 after fixing the audio problem.
I used whisper-anime model for this one. As a new model, I'm interested to hear your comments about the result.
Thanks for this detailed analysis Mei. The One trade-off with the hallucination clean-up (I'm assuming that you've looked at clean_subs.py) this is a work in progress and I will adjust it piecemeal as ideas come to me. My only slight qualm with the hallucination 'filter' is that during those moments where a hallucination has started but is carrying on over obvious dialog, I half think it would be better to at least have dialog, even wrong dialog, when it is obvious that someone is speaking instead of a blank screen where my script has removed the hallucination. It's probably not really relevant but it is an aspect of the filtering process that I am not happy with. I thought about adding some funny word replacements for my own enjoyment, 'have you had anal?-Do you enjoy a poke up the rump? but since these are primarily for others (Akiba) I have curtailed that inclination. The bottom line with Whisper is with its current fallibility you are relegated to good enough rather than, by jove I think I've got it. Right now I'm working on specific actress subs so , everything from Abe Mikado, Kanna Misaki, Lala Kudou, Airi/Meiri Twins, Nanami Nanase, and a bunch more that I can't remember right now (I"m on my laptop while my PC is hard at work creating subs) in any case the next bunch covers movies by actress, about 2000 titles I think, then I move on to my alphabetical folders which is just a mish-mash of everything and is somewhere in the vicinity of 20K files. This is going to be a very long process so if you discover potential tweaks to either my bat or py files to make them more effective, give me a shout. Thanks Mei.We peobbaly need to take this conversation to another thread so we don't hi-jack the main theme. The work that you're planning to do (and doing) is quite valuable and deserves more attention. I will spend more time on it during the weekend, but I thought of doing a quick exploration into your first set of the subs by running some stats on them. Here are some interesting stats:
(1) Hallucination: Your de-halluicnation seems to have worked quite well for known phrases. There doesn't seem to be too many of those occuring in the majority of the files:
View attachment 3671696
(2) Quality: Looking at the characters per seconds (CPS) metric can give an indication of the quality of the timing, or the sub. That can be one way of measuring the quality of a sub. I'd say anything below 10 and higher than 20 might be not optimal.
View attachment 3671723
(3) Quality: Another metric I looked at was for repetition. One metric can be Type-Token Ratio (TTR). This is a bit difficult metric for JAV (or any porn movie), as the vocabulary is not that vast
View attachment 3671724
These are just dumb stats with no knowledge of the genre, or type of movies. So it must be taken with grain of salt. It would be interesting to run the stats for each separate genre or series to see what are the characteristics.
Just checked the first few lines and it looks a lot better than the translation basic whisper gave me.
I've attached the raw results. Left side only, I didn't bother trying the right channel to see which one got the better results, as whisper takes quite a while to finish on my computer.
I've attached the raw results. Left side only, I didn't bother trying the right channel to see which one got the better results, as whisper takes quite a while to finish on my computer.
Wow, that looks really great from a quick glance, but I can't compare this to my own as I don't know how to fix the audio problem.
I'd like to see it with actresses that sometimes talk in a very cutesy way, I'm sure any model trained on anime is able to deal with that much more. Ichika Matsumoto comes to mind (maybe MIAA-846 ?).
Wasn't there some problem with the timecodes on that model, you were able to fix it ? Or is this another one ?
Apparently it's probably "phase cancellation". One of the track has the opposite polarity of the other and they cancel each other out when downmixing to mono. It can be fixed by separating the 2 tracks, inverting one of them(Effect->Special->Invert in audacity) and then merging them back.
For WAAA-501, it looks like one scene in the middle is correct and the rest of the audio is inverted so you'd need to select and invert the 2 bad parts separately(downmix a copy to mono to identify and create labels(ctrl+B) to easily select them after) for 1 track(apparently usually the right one is the problematic one) and then you can get a good full audio for whisper.
Edit: Made a better picture
For WAAA-501, it looks like one scene in the middle is correct and the rest of the audio is inverted so you'd need to select and invert the 2 bad parts separately(downmix a copy to mono to identify and create labels(ctrl+B) to easily select them after) for 1 track(apparently usually the right one is the problematic one) and then you can get a good full audio for whisper.
Edit: Made a better picture
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Wow, that's a lot trickier than my quick solution. I just did
ffmpeg -i input -af "pan=mono|c0=FL" output
to get the left channel audio only (or FR if you want right only).
I don't have anything more complex to edit audio than ffmpeg so i was the best I could do myself.
I do wish I knew where to get this anime-whisper as it seems to work much better than the regular whisper I have. Or is it one of those versions that you can't run locally but have to upload the file to some server?
worked great, thx !
I tried the python clean up subs thing, seems a bit aggressive on some things ? I might remove some stuff myself.
So i wanted to compare the anime model version vs V2, but I only translated 100 lines and only compared the first 60. I need sleep and can barely keep my eyes open, but really wanted to quickly compare it.
I think I caught like 3 clear mistakes, or audio that didn't get picked up, with the anime one in those 60 lines, but of course it's such a low sample size and even if you transcribe the same audio a second time and do the same parameters and same model, sometimes it will pick up some audio it didn't before.
I'm still very interested in comparing it to an actress that talks in like a really cute voice, I bet if would be better than v2 then.
Yes there still is the problem with timecodes, anime-whisper doesn't return those. My current workaround is to segment the audio around predicted vocals before feeding it to the model. I'm still testing it. I plan to publish it once it is in a beta-level shape.
Hi Sam,
Any thoughts on if this a "one-off" or is this what the future is going to look like in JAVs?
I don't think there's any reason for them to try and prevent subtitles from being made so it's more likely a bad job done by whoever edited it. I've seen some horrible things done on some videos so not everyone know what they're doing even when they are "professionals".
I agree with you here Sam. It seems that someone would deliberately encode audio merely to confuse Whisper like HDCP or DRM it just doesn't make any sense to go to that trouble.