Giter Club home page Giter Club logo

orca-call-classifier-machine-learning's Introduction

Orca-call-Classifier-Machine-learning

Advanced ML Project : An Orca Call classifier using mel-spectrograms as audio representations to detect Killer whales

I have used the Killer Whale (Orca) Call Audios for making the dataset from the FOSS Organisation OrcaSound, which has hydrophones in Seattle to listen to the Southern Resident Killer Whales. The audio has been downloaded from AWS Bucket and preprocessed to obtain spectrograms.

Dataset Size I have used is about 240 Audio Clips. The Instructions to download Audio Clips is given in the page below :

(https://github.com/orcasound/orcadata/wiki/Pod.Cast-data-archive)

mel-spectrogram Killer Whale

orca-call-classifier-machine-learning's People

Contributors

rohankrgupta avatar

Stargazers

avatar

Watchers

avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.