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Implementation and reviews of Audio & Computer vision related papers in python using keras and tensorflow.

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channelCS/Audio-Vision

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Audio - Vision

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Implementation and reviews of Audio & Computer vision related papers in python.

Most of our codes use Keras_aud library.

Implementations

[1] Deep Neural Network Baseline For Dcase Challenge 2016 [Paper] [Code]

[2] CQT-Based Convolutional Neural Networks for Audio Scene Classification and Domestic Audio Tagging [Paper] [Code]

[3] A convolutional neural network approach for acoustic scene classification [Paper] [Code]

[4] Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection [Paper] [Code]

[5] FrameCNN: A Weakly-Supervised Learning Framework for Frame-Wise Acoustic Event Detection and Classification [Paper][Code]

[6] Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging [Paper][Code]

[7] Exploring Models and Data for Image Question Answering [paper][Code]

[8] Stacked Attention Networks for Image Question Answering [paper][Code]

[9] Sequence to Sequence Autoencoders for Unsupervised Representation Learning From Audio [Paper][Code]

Applications

Application Deployed using heroku and Flask with python and JS

[1] Digit classifier [Implementation] [Application]

[2] MNIST Random Digit Regenerator [Paper] [Implementation] [Application]

Feedback

All kinds of feedback (code style, bugs, comments etc.) is welcome. Please open an Issue on this Repository.

Contribution Guidelines

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Team Roles

Aditya Arora : Code Environments, Structuring, Dynamic Description, logics, feature logistics, Documentations.

Akshita Gupta : Paper Selections, Understanding Theoretical concepts, Model Descriptions.

Upcoming Uploads

[1] Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering [paper]