🚨 The Uncanny Valley doesn't exist. 🚨

Mujahid Khalifah in his PhD research just showed that Japanese emotional speech models created from artificial voice datasets match original data in emotional expression.

What are the implications? 🧵

doi.org/10.1109/ACCESS…Image
You do not need to collect huge high quality datasets for each emotion to produce a good emotional voice. Just use a raw voice model and fine-tune it for specific emotion(s) on small emotional data - even artificial data (!). The emotions will still be perfectly understandable.
Whats more, you can just train a voice model from scratch only on artificial data - it will be worse, but still perfectly usable (!).

This result for Japanese language holds up for basically all age groups, genders, nationalities, even for people who don't know Japanese (!).
This also confirms my own theory.
It shows that when people obtain a new technology, (1) they already know the technology a bit and (2) prefer to smoothly adopt it, focusing on its overall utility rather than minor imperfections.

Thus - the theory of Uncanny Valley is incorrect.
And if you think of it, it's actually quite obvious. Technology is always developing, so by the time there actually are life-like humanoid robots to use at home, we will be well acquainted with them not to feel uncanny with them (although spoiler - its pure sci-fi AI-robot-hype).
So - Mori was wrong in his "The Uncanny Valley" paper. It seems he was imagining things from his own perspective, rather than taking into account the progress of technology and society.
But, on the bright side - your next Siri will be more naturally emotional. ☺️
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More from @mich_ptaszynski

Oct 2
9/28-29に北海道NLPミーティング/言語獲得と理解研究会を実施しました.釧路高専,北大(@HokkaidoUnivPR),北見工大(@KitamiOf)から15名の発表者が集まり,今北海道を代表する人工知能・自然言語処理の研究を発表しました.発表のまとめ,録画へのURLを以下の通り簡単にまとめました.🧵
#HokkaidoNLP #NLProc
@HokkaidoUnivPR @KitamiOf まず,全ての発表を北海道NLPのYouTubeチャンネルで公開しています.発表資料は動画の説明で確認してください.
YT Live:
Webex録画:
また,プログラムを北海道NLPのホームページで確認できます.

#HokkaidoNLP #NLProc #Hokkaidoyoutube.com/live/yuf3pz8z4…

sites.google.com/view/hokkaidon…
@HokkaidoUnivPR @KitamiOf "Cross-Cultural Perception of Child Safety..."では,北大チームが異文化間の子供安全認識を調査しました.家庭・学校の画像に4カ国語で危険注釈をして,文化で異なる安全意識を比較しました.AIの安全認識向上にも期待できる研究です.
#子供の安全 #異文化研究 #AI
Read 21 tweets
Sep 19
(っ◔◡◔)っ❤️ 𝗜𝘀 𝗶𝘁 𝗱𝗶𝗳𝗳𝗶𝗰𝘂𝗹𝘁 𝘁𝗼 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗲 𝗶𝗿𝗼𝗻𝘆? 💔

"Initial Exploration into Sarcasm and Irony Through Machine Translation"
was just published in Natural Language Processing Journal @ElsevierConnect @sciencedirect

Check 🧵 for highlights and data Image
With ChiaZhengLin, @mich_ptaszynski, @mar_kar_, @JuusoEronen, and Fumito Masui, we study if it's harder to translate irony compared to straightforward speech. We also specify the optimal conditions for finetuning transformers to translate irony, and compare with zero-shot GPT3.5.
@mar_kar_ @JuusoEronen Citation and open access PDF below.

Chia, Z. L., Ptaszynski, M., Karpinska, M., Eronen, J., & Masui, F. (2024) "Initial exploration into sarcasm and irony through machine translation", Natural Language Processing Journal, 100106


doi.org/10.1016/j.nlp.…
sciencedirect.com/science/articl…
Read 19 tweets
Jul 7, 2022
⚡️Username toxicity paper alert⚡️
In our first huge-scale study (over 300 k users!) we found out that users with toxic usernames produced more toxic content and were more likely to have their account suspended. 😱
authors.elsevier.com/c/1fN212f~UWIs…
doi.org/10.1016/j.chb.…
This is joint work with Rafal Urbaniak from @Uniwersytet_GD and the awesome team from @samurai_labs including @ptempska, @sandyire_, and @Fidofornia
#cyberbullyingawareness #cyberbullying #cyberbullyingprevention #Username #saferinternet
Oh, and the system that we made for this research can be tried out completely for free right here! 👇
username.samurailabs.ai
So, I guess, it's time to review my own usernames as well... 😅
Read 5 tweets

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