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Python examples for the course "Multimodal Information Processing & Analysis" of the MSc in Data Science in NCSR Demokritos

Python 100.00%

multimodalanalysis's Introduction

multimodalAnalysis

General

This code contains sample code for the Course "Multimoda Information Processing and Analysis" of the MSc in Data Science, of the National Centre for Scientific Research "Demokritos". The course covers introductory issues with regards to audio segmentation and classification, image processing, image feature extraction, segmentation and classification, video analysis and multimodal fusion.

Dependencies

All code has been tested in Python3, but in most of the cases it is also compatible in Python2.7. Dependencies can be installed using pip and the requirements.txt files in each folder (e.g. audio/requirements.txt).

Course Presentations

Link Title
Course 1 Intro to Multimodal Signal Analysis
Course 2 Audio Representations and Feature Extraction
Course 3 Audio Classification / Regression
Course 4 Audio Segmentation
Course 5 Image Feature Extraction - 1
Course 6 Image Feature Extraction - 2
Course 7 Video Feature Extraction - 1
Course 8 Audio Fingerprinting
Course 9 DL 1
Course 10 DL 2

Author

Theodoros Giannakopoulos, Director of Machine Learning at Behavioral Signals

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