Massimiliano Todisco

ORCID iD
https://orcid.org/0000-0003-2883-0324
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France

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Massimiliano Todisco (2016-08-21)

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Personal website

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Massimiliano Todisco (2016-08-21)

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Scopus Author ID: 24482053500

Sources:
Scopus - Elsevier (2016-08-21)

Biography

I received a Laurea (MSc) degree in Physics from the University of Rome La Sapienza and a PhD degree in Sensorial and Learning Systems Engineering from the University of Rome Tor Vergata. I also received a postgraduate Master degree in Sound Engineering, summa cum laude, from the University of Rome Tor Vergata and a Diploma degree in Trumpet from the Music Conservatory of Frosinone Licino Refice. During my PhD research project, I have examined specific aspects of Automatic Music Transcription (AMT), which is a challenging topic in audio signal processing. Currently, I am involved in the OCTAVE - Objective Control for TAlker VErification project, in the Speech and Audio Processing Research Group at EURECOM's Digital Security Department. Particularly, I am investigating new spoofing countermeasures for the security of Automatic Speaker Verification systems (ASV) from attacks with manipulated signals. In the past years, I have collaborated as Researcher and Adjunct Professor in the Department of Electronic Engineering and in the Master in Sonic Arts at University of Rome Tor Vergata, where I have been involved on several research projects, funded both by Italian institutions and by the European Commission, dealing with signal processing and machine learning. During the same period, I was the technical coordinator of the post-graduate Master in Sonic Arts at Tor Vergata University of Rome. I have also joined the Fondazione Ugo Bordoni of Rome, where I stayed several years as Researcher. Mainly, I was involved on research activities related to speech signal processing for forensics applications, and in the INDUSTRY 2015 - Speaky Acutattile project, in which I was investigating new natural language processing systems for blind and elderly people. In November 2013 I have achieved the qualification as Assistant professor in the PE7 area (Systems and communication engineering) obtained in the comparative assessment and interview at Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy. In June 2016 I have got the best paper award at ODYSSEY 2016, The Speaker and Language Recognition Workshop, for development of new feature for the automatic detection of spoofing attacks for speaker recognition systems. My teaching experience includes a variety of class sizes at universities, such as EURECOM, Tor Vergata University of Rome and IUAV University of Venice, and music conservatories, supervising undergraduate and graduate students in their major research projects. My research interests focus on the areas of artificial intelligence, such as machine learning and pattern recognition, circuits and algorithms for signal analysis, processing, and synthesis, particularly with regard to audio signals, speech and music, biosignals and images. Within these research interests specific study-areas include the identification of nonlinear systems, supervised, semi-supervised and unsupervised classification, feature extraction and selection methods, human-machine interaction, intelligent user interfaces, recurrent neural networks, nonnegative matrix factorisation, modern techniques of statistical learning and their application to various types of real-world problems.
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