BNHA Dress Up, a project made by Holistic Voice using Tynker. Learn to code and make your own app or game in minutes. Art, Game, Customizer, Cool / Wow, Storytelling. Katsuki snorts, arms crossed in the front row about how much of a nerd he is, while Deku pulls up Shinso's voice changer mask, but not using it yet. Katsuki had snorted in unison with the onscreen version of himself, and Kirishima can't help but chuckle at that, Deku too, causing him to glare at them both.
Fifteen.ai is a proof of concept web platform that allows you to make various characters from different pieces of media repeat what you write. The site, funded by MIT, has served over 4.2 million audio files which are the output of different characters speaking out the text the users have requested.
Text to speech is a technology has been around for a while now, being part of many operating systems since as early as the 1990s. However, due to the recent innovations in the field of artificial intelligence, the quality of text to speech engines has seen rapid growth and the voices generated are increasingly natural. The most famous example of this is an unreleased feature of Google's voice assistant. The feature allows the voice assistant to call and make appointments for you and also respond to calls first if needed. The voice assistant goes as far to include 'um's and 'hmm's in its replies, undoubtedly fooling the caller on the other end into thinking there is an actual human on the other side.
There is no doubt that in order to make such an intricate AI, days upon days of training data was used by Google to hone the voice assistant into answering in the most natural way possible. Fifteen, on the other hand, highlights a very different improvement in voice synthesising algorithms: it is able to produce samples of audio similar to that of the original character in as little as 5 minutes of training data. Como descargar la aplicacion jw library para pc. Though it is still a bit rough around the edges (try inputting 'coronavirus' and listen to different characters absolutely butcher the pronunciation), the AI does a good job at accurately replicating most basic words. Additionally, depending on the characters chosen on the website, the web platform allows you to give an emotion to the narration of the sample text. For example, Twilight Sparkle from My Little Pony has the option of outputting the written text in a happy mode.
The fact that you can train artificial intelligence to synthesise voice as natural as this with just 5 minutes of training data comes with both benefits and potential problems. The obvious benefit that most people might think of is better sounding voice assistants, but companies so far have not decided to use better voice synthesis on voice assistants with research showing that it can draw users away by coming off as eerily human. It is likely that we will see any phone voice assistants with naturally sounding voices until they can consistently be as natural as the voice showed in the Google assistant calling demonstration and cross the infamous 'uncanny valley', a valley at which a technology generates an imperfect human and causes discomfort in users despite being close to the real thing. An important benefit of better voice synthesis is allowing those impaired and unable to speak have a nearly natural voice and allow them to express their thoughts with it. On the other hand, a problem that we may end up facing at some point in the future is that it if someone records you for 5 minutes speaking about different things, they can impersonate your voice using the same technology that this artificial intelligence used, that being said, there is still a while before artificial intelligence can accurately synthesise more complex words given the small set of training data.
This generator allows you to convert text into text with random caps, just like in the 'Mocking SpongeBob' memes. Handy if you've got a lot of text to convert (e.g. the bee movie script) and you don't want to spend hours doing it. If you'd like to learn where the Mocking SpongeBob meme comes from, read on!
Mocking SpongeBob SquarePants
The mocking spongebob meme somes from a scene in the show where spongebob is acting like a chicken - clucking and pecking at the ground. The first known use of it in a meme was this tweet on May 4th 2017:
Which was followed by this tweet a day later:
And then this one:
And that got the meme rolling. As you can see, the alternating upper-case and lower-case letters indicate a 'mocking' tone that's often used when relating a story or occurrence to someone and you want to cast a bad light on what was said - implying that it is silly or absurd or whatever. Either that, or you're replying directly to the person with a 'taunting' sort of attitude.
This alternating caps stuff has moved well beyond the spongebob bird beak scene itself and is now (as of 2018) regularly used all over the place in regular social media posts without reference to the original image - though it's often understood that the poster implies that original spongebob 'mocking' visual.
Mocking Text
This separation from the spongebob image itself has led to this form of alternating caps text to be simple called 'mocking text', and as suck, this page is really just a 'mocking text generator', but I figured I'd call it by its original name, because the association is still pretty strong.
On the other hand, there seem to be a decent number of people who call it 'spongebob text' or 'spongebob meme text'. But to me that's a less-than-optimal name for it because spongebob is such a broad category in the meme world that people would probably get confused. Another term I've heard being used is '(spongebob) taunt text'.
How does the conversion work?
Deku Voice Changer
I decided to use a 50% probability of caps vs lower case, which I think is fairly reasonable and tends to match up with spongebob mocking text 'in the wild'. The text is produced with JavaScript, and it's really simple. If you know JavaScript, you might like to see the code itself:
Izuku Midoriya Voice Actor
outputText = inputText.split(').map(c => Math.random() < 0.5 ? c.toUpperCase() : c.toLowerCase()).join(');
LingoJam lets you put in custom functions in the 'exrtras' tab, so that's what I used. I could have used the infix tab, but this was much easier I think.
Okay, that's all for now folks! Please feel free to leave suggestions in the box, and I'll do my best to address them. At the very least I can create a different mocking text translator/converter for you rather than editing this one. E.g. maybe someone wants to be able to control the percentage of caps lock! Let me know :)
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