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Music signal analysis
The goal of this research was the automatic extraction of relevant cues from audio streams, to enable effective solutions of music information retrieval. This is a field on which there was an increasing interest in the years 2005-2015, not only at scientific level (see for instance, the apps that were realized by Shazam and SoundHound).
For more details on research and evaluation actions conducted at international level we suggest to read the MIREX (Music Information Retrieval Evaluation eXchange) site. Our main interest was on the automatic processing of music sequences that include speech information (e.g., singing voice) and, in general, on techniques that can support the development of solutions regarding that goal.
Between 2008 and 2012, state-of-the-art solutions were realized for beat tracking and automatic chord detection tasks. In the latter case, during the last six years the participation to international MIREX evaluation campaigns always ranked our technology in one of the first two positions. More details on those activities can be found here.
From 2013 to 2016, we have also worked on automatic analysis of singing voice.