Examples: Speech

Gooey.AI

Bhojpuri Speech Recognition (using Gates/Ekstep)

235 runs

This is one of the few Bhojpuri ASR models available based on: https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bhojpuri-bhom-60
Transcribe mp3, WhatsApp audio + wavs. Optionally translate to any language too.

Documents

🔗https://www.youtube.com/watch?v=WK7rEMCVsGE

Transcription

The Packers have spoken about the work of the Katalka Laka Laka Cola In the age of Taki, the past tense of the farmer, the farmer, the farmer, the farmer, the farmer, whose nails would be tightened, would have been able to defeat the country The farmer worked the fields and the farmers took the soil and cultivated it in a little sack until they took the soil out of the pond Whoever remains is not played with clay or divorced from the clay. The above issue is not understood by Didi Hardajd Lava Bhiyarpi Ka Ka Rile Ghar Alawala Thana Kalyanpur Park Kalyanpur Districtpur Beechanpar Sadidi Sabh Yon Rana Ranai Devi Wuri Jika Sanhayatakasghapur Lyanpur Kalaur Rakha Rubi Chamaran Ke Heane DidiParichay To Bahut Achcha DaniyaAb Eme Kon Kon Samaan Lagat Serhue Khididi If you don't have enough fertilizer, five kilograms of fertilizer or chiva fertilizer, put it in. Put ten kilos of rotten cow. We need a hoe to mix it. See Dairiyuah. We need a hoe to mix it Anyu lagidid lo lagi balt kah yo orvate lage di chaari jarleo lagi di ya sa kahsv vo rov me lagap j yahi me pani dhag ke patava ya sa to ladi savariye ke lagi didi yahi basvake inside panitwaal tomati green rahi nammi rahi from the planting period benefits malia kaha lagara khi menoborovar green disee also VK lahagaghakhnahi t nia ga khi dagara tak whip g augra in put la rover also cut to be that both cut the sama ka ha dakta tani kinche se moisture found hindi saw Now put the sack on both sides and put the soil on both sides. Fill the hole with soil on both sides and see the hole in the pond The bamboo in we put sakarkhatardal only in the water poured the water inside the j saw the didias folded and here we feed now put a fertilizer we add o now dig the this issome fertilizer mavlea khd laes ki de day da mav The Madyan Jewish leaders in the Kamla Se Kadav Khade gave the Mabadar Mess in the Katpan Lap in the Palar Paval in the Samat Khamar Kamada I saw the deep bank sister put water in the pot and put the seeds in it after twenty-four hours. Thikabhaiya we will come after twenty-four hours. Didi came after twenty-four hours The twenty-four hours left to walk around or twenty-four hours is that twenty-four hours has passed and the next process is the same So after cutting two equal patties and two at the bottom, you have to cut two equal patches and two at the bottom Pacharit seeds Balahka Ghida Jhignikural Tekrla also stopped Didiya me kayaro fe dekhi Didi somewhere in the seeds put now this public committee picked up the medal clay Kahlagala sa bhayaur se dhant diyat Didi ye sri je raja yank diya ta Didi ye ja paje bhaiye I will not water the seedlings until they are known. I will plant the seeds. I request all the sisters who do not have land to cultivate the sack and eat the vegetables He benefits from the precautions to be taken then sisters to be careful to save the goats now sisters CE precautions to save the goats to raise the goats thank you all sisters brothers well tell me to farm in sacks Thank you very much to Degi and you

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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00:00:00,000 --> 00:00:10,080
Hi, I'm Sean, one of the founders here at GUI, and I wanted to give you a demo today

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00:00:10,080 --> 00:00:14,940
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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00:01:54,320 --> 00:01:57,440
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

Bhojpuri Speech Recognition (using Gates/Ekstep)

Speech Recognition and Translation

Speech Recognition and Translation

Speech Recognition and Translation

Speech Recognition and Translation

Speech Recognition and Translation

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