Transcribe & Analyze any video in seconds with AssemblyAI's Playground🔥
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Transcribe & Analyze any video in seconds with AssemblyAI's Playground🔥

AssemblyAI 28.11.2022 4 045 просмотров 70 лайков

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Transcribe & Analzye any video in seconds with AssemblyAI's Playground Try it: https://www.assemblyai.com/playground Get your Free Token for AssemblyAI👇 https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_65 ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MachineLearning #DeepLearning

Оглавление (2 сегментов)

Segment 1 (00:00 - 05:00)

hi everyone I'm Patrick I'm a developer Advocate at assembly Ai and in this video I want to show you how you can very quickly try out all our powerful AI models in just a few seconds and with them transcribe and analyze audio content so for this you don't need an account and you also don't need to code you can use our assembly AI playground that you find at assemblyai. com playground and here you can upload any local audio or video file or even better you can drop in any YouTube video link so let's get started so let's quickly test our AI models with a YouTube link and for this you could even click on surprise me and it's randomly choosing one I want to use one from the kurtzkuzak channel which is this video what happens if a super volcano blows up so let's copy the link and then let's paste this in here and now click on next and here you get an overview of all the models that you can try out by default transcription is always turned on and now in addition I also want to select summarization so this can generate a single abstractive summary of the entire Source submitted for transcription and now we come back to this overview again in a few moments and have a look at the other ones as well for now I want to go to next and now it's already starting this and running this through our models processing time takes roughly 15 to 30 percent of the file's duration so we need to come back in a few moments and in the meantime we can copy the URL and leave the site so let's wait until the results are here and we got the results back on the left side we now see the transcript of the whole video for example let's read the first sentence the Earth is a gigantic ball of semi molten rock with the heart of iron as hot as the surface of the Sun this is exactly what's being said in the video and on the right side we see the summarization in this example we got two bullet points back so for example people let's read through some of this true apocalypses can break through and unleash eruptions tens of times more powerful than all of our nuclear weapons combined so yeah I'm a big fan of the summarization model this is super cool to get a very quick summary of the whole video and now let's have a look at the other AI models you can test out as well so let's use the same YouTube video again and go to the model overview we've just seen the summarization now let's also use topic detection so this can label the topics that are spoken in your audio or video files following the standardized IAP taxonomy then we can turn on all the chapters this will generate a summary over time providing an automatically generated summary for each chapter then we can use content moderation so this will detect any sensitive content we can detect important phrases we can do sentiment analysis which will detect the sentiment for each sentence so either positive or negative we can detect entities such as person or company names or locations then we can do pii reduction so personally identifiable information such as phone numbers and Social Security numbers we can detect and label speakers we can also have dual Channel support so if we have a dual Channel audio then this will transcribe each Channel separately and we can also turn on profanity filtering so in this example let's turn on this year topic detection other chapters content moderation important phrases sentiment analysis and let's go to next and now let's wait again until the results are here and processing is done now on the right side we again get the results for all the AI models that we turned on so let's go over them first we have other chapters so in this case it detected two chapters and for each one we get a headline and then the summary so the headlines are could a super volcano destroy the Earth and the second one are super volcanoes a threat to humanity and then the summary which I think is pretty cool then we have content moderation so I think for a YouTube video there's not a lot of sensitive content but in this case it detected disasters as possibly sensitive content than the important phrases for example volcanic eruptions super eruptions hot rock climate change and many more then for the sentiment analysis it detected 13 positive and 27 negative ones so I think this video is talking a lot about these disasters and death that's why there's also a lot of negative sentiment in here and for the topics it detected geology disasters polar travel science weather and online education so I think this is pretty accurate so yeah I think these AI models

Segment 2 (05:00 - 05:00)

are pretty cool and I encourage you to try them out for free at assemblyi. com playground and one quick note if you then work with the actual API in code of course the results you get back are much more detailed than what you're seeing here for example for the other chapters you also get the timestamps back for each chapter and you also have more customization so for example you can customize the summarization model but for this you can check out the documentation but I think the playground is super cool to test out any YouTube video or local file really quickly and yeah I hope you enjoyed this video and then I hope to see you in the next one bye

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