{"id":19901348,"url":"https://github.com/lissy93/realtime-speech-analytics","last_synced_at":"2025-08-02T22:05:10.956Z","repository":{"id":69393687,"uuid":"58851178","full_name":"Lissy93/realtime-speech-analytics","owner":"Lissy93","description":"🗣️  Real-time visual analytics and entity extraction of live 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align=\"center\"\u003e🗣️ Real-Time Speach Analytics\u003c/h1\u003e\n\u003cp align=\"center\"\u003e\n  \u003ci\u003eCalculates and renders live speach insights, to help you understand the meaning and tone behind spoken language\u003c/i\u003e\u003cbr\u003e\n  \u003ci\u003eUseful for generating meeting notes, inteligent subtitles, practicing speaches, language translation, etc\u003c/i\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n   \u003ca href=\"https://screencast-o-matic.com/watch/cbQvQMIxsN\"\u003e\n      \u003cimg width=\"700\" src=\"https://i.ibb.co/5YGKZ1Q/real-time-speach-analysis.gif\"/\u003e\n   \u003c/a\u003e\n\u003c/p\u003e\n\n\n### Intro \n\nThis is a simple node app, which listens for speach (of any type), and in realtime calculates insightful \nstats from it, then generates a series of visual analytics in D3.js, which are updated live, as speach\ncomes in.\n\nThis includes, current sentiment, most commonly used words, pace of speach, key entities that are being mentioned, and more.\nThe technology developed can be put into use in areas, such as speach coaching, meeting notes, inteligent subtitles, learning languages, live news analysis, gauging consumer feedback on review videos, sports commentry etc...\n\n_Initially developed as a prototype, by myself (Alicia Sykes), and Oliver Poole (in 24 hours!) during AngelHack London 2016._\n\n### Demo\n~There is a live demo running [here on Heroku](https://awesome-speech-analytics.herokuapp.com/)~ (Due to Heroku discontinuing free plans, the demo is no longer availible)\n\n### Installation\n\n1. Clone the repo, `git clone https://github.com/Lissy93/awesome-realtime-speech-analytics.git` and `cd` into it\n2. Install dependencies `npm install` *Should automatically kick of bower too, but if not, run `bower install`*\n3. Build the project `npm run build`\n4. Start the project\n    * Either start the project in production mode, with `npm start`\n    * Or start in development mode, with `npm run dev`. Which will watch for changes, compile and refresh\n    * Or just navigate to index.html in your browser, to use the static version\n\n---\n\n\u003cp  align=\"center\"\u003e\n  \u003ci\u003e© \u003ca href=\"https://aliciasykes.com\"\u003eAlicia Sykes\u003c/a\u003e 2016\u003c/i\u003e\u003cbr\u003e\n  \u003ci\u003eLicensed under \u003ca href=\"https://gist.github.com/Lissy93/143d2ee01ccc5c052a17\"\u003eMIT\u003c/a\u003e\u003c/i\u003e\u003cbr\u003e\n  \u003ca href=\"https://github.com/lissy93\"\u003e\u003cimg src=\"https://i.ibb.co/4KtpYxb/octocat-clean-mini.png\" /\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flissy93%2Frealtime-speech-analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flissy93%2Frealtime-speech-analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flissy93%2Frealtime-speech-analytics/lists"}