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February update

🕑 Added 2024-03-01 16:38:37 +0000 UTC

Comments

Kevin Mitchell

That is so interesting! I've been studying Japanese for about 18 months now, and I'm about at that reckoning stage where I've come to understand what a long journey I've started. I watched part of the ?probability 0 impossible? video and man, I get about 20% of that and the speech is fast. I use GPT-4 as kind of a tutor for Japanese, and I know I have to double check the answers sometimes, so...I would say that Japanese is going to be the longest stretch for using AI...first, probably a Japanese native speaker who understands English math terms might beat machine translation. Maybe AI dubbing might work; it'd be freaky to hear Japanese in your voice. Pitch accent is both held up as a necessity....and then someone says don't worry, native speakers get pitch accent wrong all the time. Anyway, that's my non-expert opinion.

flekkie

Hey Grant! Thank you for the update. I hope I'm not repeating a conversation that's already in the comments (did not read all of them), but I just wanted to point out the experience for European viewers that are very used to subtitles (thinking of Scandinavian countries, NL, BE,..) . We are very used to subtitles while the main audio is in English, and I would never watch a dubbed version, regardless of how it was made. For me it all comes down to good human-made subtitles. If those are available, I'll always have those on. If only English is available I'll have that on, as it just helps understanding to both read&listen simultaneously. I would generally skip Auto-Translate to my own language, but it's definitely an option as long as the original English was high quality (not Auto-Translated!). So what I want to stress is that in the end proper human-made English subtitles are still the backbone of all language support. Thank you!

Raphaël

A follow-up to my previous message: I’ve just submitted a PR for the "better bayes" video french captions. I reviewed the whole (auto-)translated script and tried to make something consistent, so as to maintain a real "talk" feel throughout the video. This was fun, as I literally talked over the original video to try and get a feel of what it would sound like with the prompts I'd written, but it took me around 6 hours in total I think (for a 21 min video). As a whole, the automatic translation really is OK and understandable, but there still are lots of small grammatical flaws — especially when context from previous captions is missing I guess — "compressed" vocabulary (odds and probability both translated to "probabilité" or "chances", which is a bit of an issue !), and it is too formal overall compared to the original. I ended up correcting / reformulating whole sentences more often than not. Cheers !

Raphaël

I sent some feedback just yesterday regarding Moser's circle problem test video and I second your feeling about intonation. But I feel that a first AI pass + community contributions through the translating interface connected to github PRs may work well. I'm about to try the new interface right now !

Don Sanderson

Intonation quibbles aside, I don't care what you say: Hearing you speak Hindi is mind-blowing

Imre Polik

If it is larger language (Spanish, Hindi, Mandarin), thus a large potential audience, then it would be better to hire someone to do the dubbing, using the translated script. However, for smaller languages it could be beneficial to just use an AI-generated dubbing to keep things simpler and probably cheaper. Or just start out with the generated ones and redo them as needed. They are already very useful for people who aren't fluent enough in English to follow abstract mathematical concepts.

Martin Manscher

A huge boon for the AI dubs is to have your voice narrate. Maybe some kind of manual tuning is possible for the intonation errors you mention? Personally, I would not think it takes away from the "human-ness", after all, it is you behind it in the end.

Neal McBurnett

You're amazing, Grant! My offhand notion, as an active Wikimedia volunteer, is that Wikipedia and related projects are deeply involved in both reaching people no matter what language they speak, and also supporting more multi-media content as a way to match people's learning modalities. So I wonder if there might be a good collaboration opportunity between what you're working on and their efforts.


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