Giter Site home page Giter Site logo

soundeventclassification's Introduction

Sound Event Classification

Classify daily life events using audio data.

Segmented Sound Event Classification

Steps to follow

  • Find the guide and explaination on this medium article.
  • Find the dataset here
  • Use STFT_feature_extractor.ipynb for extract STFT features and save the features. (This will create a new directory 'stft_257_1')
  • Use sound_event_classifier.ipynb for training the machine learning model and testing. The features should be generated first by the above step.
  • You may use a different train, validation and test splitting scheme by changing the code.

Continuous Sound Event Classification

Classify a sequence of sound events on a recorded audio clip. Find the guide and explaination on this medium article.

soundeventclassification's People

Contributors

chathuranga95 avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.