In contemporary history, the digitization of human societies and media convergence are inextricably linked. Framework conditions for media representatives, recipients, interest groups and regulatory bodies are changing accordingly. Due to digitization in all media sectors, it is much necessary to analyse the media market conditions and their operations. The objective of this study is to develop and evaluate methods to systematically classify public radio stations in Germany to discover and interpret their broadcasts on a set of empirical research questions. This study helps in assigning a DNA like identification to each of the radio stations based on the broadcast music and music-related editorial contents. The study is divided into three tasks: One, data collection and identification; two, data validation; and three, data mining to find answers for a list of given empirical factors which are understood as the DNA structure of corresponding broadcast station.

Thesis Details

Date: Mar 1, 2017
Author: Ganesh Harugeri
Tags: master thesis, music information retrieval, fingerprinting