Topic: audio-emotion-analysis Goto Github
Some thing interesting about audio-emotion-analysis
Some thing interesting about audio-emotion-analysis
audio-emotion-analysis,The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
User: anuragmishracse
audio-emotion-analysis,This is an audio classifier which will classify the audio into two categories - neutral and angry. Used CNN classifier to train the model.
User: imanom
audio-emotion-analysis,Directly from voice, recognise speaker emotion, intensity, & sentiment in speaker utterances.
Organization: seernet
Home Page: https://developers.deepaffects.com/
audio-emotion-analysis,In this project we classify negative audio emotions , data is combined between ( RAVDESS/ SAVEE/TESS and CREMA-D)
User: siwar-lachiheb
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.