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SopiMlab/DeepLearningWithAudio18

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Rank 2,099,232 (Top 42 %)
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Jupyter Notebook
Created over 6 years ago
Updated over 5 years ago

SopiMlab/DeepLearningWithAudio18

SopiMlab

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This repository contains the deep learning with audio examples and the course materials for DOM-E5129 - Intelligent Computational Media. Documentation on different Deep Learning Audio systems as well as instructions on using some of them. Tools for loading, playing and plotting audio. Some working simple classifiers Non-working sample-level/raw audio GANs Python scripts for sorting different popular datasets

DeepLearningWithAudio

GANSpaceSynth

The hybrid architecture is based on the idea that we could simply apply a GAN method (GANSpace) to another GAN model (GANSynth).

PESI_OnBody

PESI mobile phone instrument, running custom software built with Objective-C and Libpd in iPhones

SoundingBrush

PESI_InSpace

The in-space component implements a Kinect motion tracking module that constantly computes the spatial position of the three performers and extracts information about their relations, such as relative distances, velocity, acceleration and alignment

kinectTrackerRealTime

kinect trackerRealTime module is built using the OpenNI library with Processing and openFrameworks. It is fully scalable to any number of Kinect v1 and to track any number of users.

kinectDataServer

Streams the point-cloud information from the Kinect devices

kinectPlySaver

Determines the point-cloud information of each Kinect for calibration

CCREAIM

CCREAIM is a hybrid transformer architecture, utilising attention weights to provide the musician with potentially interesting information about the motivation behind the AI's decisions.

Jupyter Notebook