Speech/Music Discrimination For Analysis Of Radio Stations - 2017 PROJECT TITLE :Speech/Music Discrimination For Analysis Of Radio Stations - 2017ABSTRACT:A computationally economical feature, referred to as Minimum Energy Density (MED) was applied to discriminate audio signals between speech and music in the radio stations programs. The presented binary classifier is based on testing 2 options: energy distribution and differences between energy in channels. We analyzed 240 hours of signals, from ten Polish radio stations. Our analysis permits us to supply info concerning content of particular radio stations. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Overview Of Airborne Sar Data Processing Alogorithms - 2017 Analysing Acoustic Model Changes For Active Learning In Automatic Speech Recognition - 2017