Examples: Speech

Gooey.AI

Speech Recognition and Translation

7 runs

Documents

🔗https://www.youtube.com/watch?v=PdNZ9ip0qjg

Transcription

Gooey.AI

Speech Recognition and Translation

9 runs

Documents

🔗4dc062a8-b080-45c5-b538-cb30c854c83c.wav

Transcription

Gooey.AI

Speech Recognition and Translation

2 runs

Documents

🔗https://www.youtube.com/watch?v=L-yHhIq3sE0&list=PL4aOhrbpcqyYGrLHMyZIgVNej2pa53uac&index=14

Transcription

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Hi, I'm Sean, one of the founders here at GUI, and I wanted to give you a demo today

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of how to use one of our recipes, a face in any scene.

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So I just go ahead and click on this.

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And so the scenario that I'd like you to imagine with us is, let's imagine, you know, rather

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than trying to do stuff with Elon Musk, we are working for a travel agency, and we've

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a travel agency and we've got a spokesperson and we want to show that person basically all over the

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country in a variety of locations, which is expensive because you got to send that person

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out, you got to do a photo shoot, and so what I'll do is I can just drag in a picture. So I have here

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Lana, AI-generated spokesperson that I've drafted right here, and then I can just take any other

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quote. So I'll just copy in another one right here, which is basically a beautiful woman to

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We have another one right here,

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which is basically a beautiful woman

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to the Grand Tetons in Hawaii or Wyoming

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and award-winning landscape photographer.

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And then you literally just do those two

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and then hit submit.

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What happens now is we're looking for this face

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and then we basically go ahead and we craft out

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or mask out that particular face, we readjust it.

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And then boom, we've got this picture

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of Lana hanging out at the Grand Tetons.

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You can go ahead and download that

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of Lana hanging out at the Grand Tetons.

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You can go ahead and download that

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and we can change anything else.

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So if we wanna say, well, no,

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she's not at the Grand Tetons,

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she's in something like Maroon Bells,

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another famous American destination that I've never been to.

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We can put that up

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and then you'll notice the same thing happens.

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And it's in about nine seconds.

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We do the same face repositioning, same face masking.

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We put that in and then we do a little bit of cleanup

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at the end with JPFK.

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masking, we put that in and then we do a little bit of cleanup at the end with

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JPF CAD. And so this is an example of a four-stage recipe that hopefully anybody

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can go ahead and use just by uploading a picture of a person and any text they

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want. So we hope you enjoy it and we look forward to seeing what you make with it.

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Thanks so much!

Gooey.AI

Speech Recognition and Translation

2 runs

Documents

🔗https://www.youtube.com/watch?v=L-yHhIq3sE0&list=PL4aOhrbpcqyYGrLHMyZIgVNej2pa53uac&index=14

Transcription

Hi, I'm Sean, one of the founders here at GUI. And I wanted to give you a demo today of how to use one of our recipes, a face in any scene. So just go ahead and click on this. And so the scenario that I'd like you to imagine with us is let's imagine, you know, rather than trying to do stuff with Elon Musk, we are working for a travel agency and we've got a spokesperson and we want to show that person basically all over the country in a variety of locations. Which is expensive because you got to send that person out, you got to do a photo shoot. And so what I'll do is I can just drag in a picture. So I have here Lana, AI generated spokesperson that I've drafted right here. And then I can just take any other quote. So I'll just copy in another one right here, which is basically a beautiful woman to the grand Tetons in Hawaii or Wyoming and award-winning landscape photographer. And then you literally just do those two and then hit submit. What happens now is we're looking for this face and then we basically go ahead and we craft out or mask out that particular face. We readjust it and then boom, we've got this picture of Lana hanging out at the grand Tetons. You can go ahead and download that and we can change anything else. So if we want to say, well, no, she's not at the Grand Tetons, you know, she's in something like Maroon Bells, another famous American destination that I've never been to. We can put that up and then you'll notice the same thing happens. In about nine seconds, we do the same face repositioning, same face masking, we put that in and then we do a little bit of cleanup at the end with JPF CAD. And so this is an example of a four stage recipe that hopefully anybody can go ahead and use just by uploading a picture of a person and any text they want. So we hope you enjoy it and we look forward to seeing what you make with it. Thanks so much.

Gooey.AI

Speech Recognition and Translation

2 runs

Documents

🔗https://www.youtube.com/watch?v=Cgd_Cjxyme4&list=PL3LYCEMgJ1urYQcVZEj1D9VlupHW3hlcT&index=2

Transcription

So there are two ways to look at this. The first is the thing that matters most to leaders, which is how is this going to help the company financially, productivity-wise. And the other is in terms of having a better workforce, a better managed workforce, a more productive, more cooperative and efficient workforce. So these are the two main reasons why I would say that leaders have to care about mental health at work. But there are also other reasons that if you explore further into the reasons why, you know, if you look at generational differences and other things, the younger workforce is more interested in looking for jobs or being employed in jobs where they find meaning in their work. It's not really about salaries or having stability alone anymore. Of course, that's very important. But meaning is very important to them, being able to do something that's filled with purpose with meaning that gives them satisfaction right so that's something that's changing with the generations and Today if the younger workforce if they are not happy they don't feel obliged to stick with a company They find something else to do Something non-traditional, you know, gig economy, this and that. So there are different ways of looking at it and if you look at it from an HR perspective in terms of retaining your good employees, controlling turnover, you know, employee turnover, making sure that your workforce that you already have is efficient, they're happy, you know, you say they say a happy worker is a productive worker. And so there are several reasons why I would say leaders should care about mental health. It just depends on the lens through which you're looking.

Examples: Speech

Speech Recognition and Translation

Speech Recognition and Translation

Speech Recognition and Translation

Speech Recognition and Translation

Speech Recognition and Translation

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