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https://github.com/jsonkao/speakers

A speech-to-data platform for real-time media analysis. (100% in ideation.)
https://github.com/jsonkao/speakers

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A speech-to-data platform for real-time media analysis. (100% in ideation.)

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README

          

A speech-to-data platform for real-time media analysis (100% in ideation).

## Conceptual Ideas

- Click into a stream, say, a presidential debate, viewer sees a real-time speech-based analysis of how the topic is being covered. [A little bit of visual inspo](http://brtacks.github.io/foundations)
- In a big, media-wide topic like the Brett Kavanaugh hearing, the platform could show a real-time speech-based analysis of how digital news media covers the topic.
- Long term, platform could watch and store all streamed data to allow for real research into how digital news media covers different topics. Inspo: [Media Cloud](https://mediacloud.org).

## Visual Ideas

- [Layout inspiration: The Times' real-time analysis of the 2016 debate](https://www.nytimes.com/interactive/2016/09/26/us/elections/donald-trump-hillary-clinton-debate.html)
- What if the transcript were layed over the video, and then the journalists who were live reporting this could highlight/comment on a piece of text? The text would be highlighted like in [**@brtacks/foundations**](https://brtacks.github.io/foundations) and the annotation would appear on the side.
- Home page sort of looks like the home page for a [insert streaming service here] app on Apple TV, where there are clips and previews of all the stuff that's streaming right now (Dana Bash on CNN, Anderson Cooper, Tucker Carlson on Fox News, a football game/pregame/postmatch).

## Tech

- [Watson websocket](https://console.bluemix.net/docs/services/speech-to-text/websockets.html#websockets)
- Lots of D3