Machine Learning Generates Chapters From Videos! Natural Language Processing Part 1
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- čas přidán 7. 09. 2024
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The Auto Chapters feature provides a "summary over time" for audio content transcribed with AssemblyAI's Speech-to-Text API. It works by first breaking audio/video files into logical "chapters" as the topic of conversation changes, and then provides an automatically generated summary for each "chapter" of content.
Behind the Auto Chapters feature is a set of powerful Machine Learning models. The first model is able to segment an audio file into "chapters" (ie, detect when the topic changes), and the second model summarizes those chapters into bite-sized summaries.
Below are just some of the use cases our customers are already using the Auto Chapters feature for:
Video Platforms - Automatically create "video chapters" to make videos easier for users to click around, and to jump to the content they're looking for.
Podcast Players - Extract interesting segments of a podcast episode, and make podcast episodes more searchable so users can jump to key parts of an episode to "sample" an episode before listening to the entire thing.
Virtual Meeting Platforms - Offer summaries of the key parts of a meeting, and make meeting recordings easier to consume after the fact.
Telephony - Make phone calls easier to navigate, especially when doing QA within contact centers.
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Looks a really useful API
Aussam. Good imformation .
Madam can you suggest me how can I learn the STX PLC programming ....
Beautiful and intelligent 😍
is thtat api free to use in our websites
I'm first here😇
Which IDE or editor software is this at 3:19?
Spyder
Hehe 😋 I am first