Template for a data science projects with software development tools

Research Project that combines exclusive Facebook data (Condor Dataset, Crowdtangle, Ad’s) and public data to analyze the Social Media behavior to determine if there is coordinated non-authentic behavior. This project in founded by the Social Media and Democracy Research Grants from the Social Science Research Council and access to Facebook data via Social Science One.

Research Project to explore the use of machine learning techniques for computational musicology, digital music archive managment, and music information retrieval.Two main elements are the core of our project: 1. Emphasis on semi-supervised and unsupervised machine learning techniques that minimally rely on the availability of annotated data for a specific task. 2. Traditional Colombian music as the main focus of our study.

Matlab implementation of the Multi Feature Beat Tracker (Information Gain and Regularity), The essentia beat tracker, More details in Multi-Feature Beat Tracking

Open-source C++ library for audio analysis and audio-based music information retrieval. It contains an extensive collection of reusable algorithms which implement audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set of spectral, temporal, tonal and high-level music descriptors. More details in Essentia: An Audio Analysis Library for Music Information Retrieval

This beat tracking dataset contains 217 excerpts around 40s each, of which 19 are easy and the remaining 198 are hard. This dataset has been designed for radically new techniques which can contend with challenging beat tracking situations like: quiet accompaniment, expressive timing, changes in time signature, slow tempo, poor sound quality etc. More details in Selective Sampling for Beat Tracking Evaluation