SIGNAL PROCESSING FOR ARTS & SCIENCE
(background art: Bruno Munari, Concavo Convesso, 1946)
NEWS FROM THE BLOG
PROJECTS AND RESOURCES
COMPUTATIONAL SOUND DESIGN
Sound Design is a solipsistic process where creativity, errors and consciousness take to new perceptual results. Can an Artificial Intelligence added in the loop give some benefit?
DEEP LEARNING FOR ROAD CLASSIFICATION
Listening to road noise can be annoying. However, we can train machines to recognize the type of surface and the presence of wet in a glimpse from the tyre-road noise to make next-generation cars safer.
VINTAGE ITALIAN INSTRUMENTS: HISTORY, INDUSTRY, HERITAGE
There is an industrial district in Le Marche region where accordion makers and synthesizer engineers have been living in harmony.
PHYSICAL MODELS OF VINTAGE ELECTRIC PIANOS
I have conducted my first research activities on virtual acoustic models at Aalto University in Finland. I have worked on the Clavinet, the Rhodes piano and the Wurlitzer for years now, to learn all about their subtleties to produce realistic and computational efficient models.
WIRELESS NETWORKED MUSIC PERFORMANCE
Networked Music Performances (NMP) have been promoted all around the world since the early 2000s, but the first wireless NMP has been developed and premiered only later, in 2014 in a unique performance across the sea, in Ancona, Italy. This was also part of my PhD work.
SUSTAINABLE MONITORING OF WATER AND GAS
In 2011 I won a research grant from Telecom Italia and a startup fund from eCapital to create a first-of-its-kind wireless sensor network to monitor the water ducts and discover pipe leaks. Since then many things have changed,
PostDoc researcher since Jan 2015 at Università Politecnica delle Marche (UNIVPM)
Contract professor for Music Production and Sound Design @ UNIVPM (2016-2019)
Associate Member of the Audio Engineering Society
Co-founder of DowSee srl
Scientific Chair for Acusmatiq festival (2013-present)
Co-founder of the Acusmatic-MATME association (2018-present)
Physics-based sound synthesis
Neural audio synthesis
Wireless Networked Music Performance
Virtual Analog modelling of synthesizers
Guest Editor for:
MDPI Applied Sciences Journal, Special Issue on "Deep Learning for Applications in Acoustics: Modeling, Synthesis, and Listening"
MDPI Appl.Sci (2016-present)
Keynote Speaker at:
ICSC 2019 (Cagli, IT)
Invited Speaker at:
ISTD 2017 (Bologna, IT)
CIM 2018 (Udine, IT)
Telecom - Working Capital (Research Grant) 2011
eCapital (Seed Fund): 2012
ItaliaCamp (Startup accelerator)
DCASE2018: Most Innovative Algorithm for Bird Audio Detection
ARTS & SOUND
I have participated to the following performances as a technologist:
Waterfront @ Acusmatiq 2014: Solo nr.19 by K. Stockhausen performed by musicians floating on boats using WeMUST (info)
Maritime Rites @ Acusmatiq 2015 by A. Curran, performed by musicians floating on boats using WeMUST (info)
LOLA concert between Ancona and Cassino for Your Future Festival (video)
I have participated to the following performances as artist/performer:
In C by Terry Riley, performed with vintage Italian synthesizers, sax, guitar and cello @ Museo del Synth 2018, (under the supervision of G. Antongirolami and G. Gentili)
Rima Glottidis, by L. Gabrielli and Økapi, a site-specific audio installation based on Deep Learning-generated voices, for Blooming festival 2018.
3D sonification of My Kingdom by Future Sound of London, using moving cars @ Acusmatiq 2017
Modulo12 by L. Gabrielli, a site-specific performance with augmented cars and live electronics
I have performed as a live instrumental solo act under the name of KeinReverb and I am also part of the Macchine Nostre collective.
A FEW WORDS ON THE TOP COVER
When I first stumbled into Bruno Munari's work "Concavo Convesso" I was shocked. Building on simple materials and basic lighting, he had explained what we, in signal processing and functional analysis, call a projection, or a transform. Bruno Munari was an ingenious artist, mixing design, education and art in a very pragmatic way, with a humble attitude but ambitious visions.
In this work I see a lot of answers to signal processing questions. The devices rotates freely, showing how the result of the projection differs depending on the way the light comes in. As a graduate student, when I was studying about Hilbert spaces and wavelet transforms, I was struck at how different scientific communities describe the same thing using different keywords and mathematical notations.
Quite paradoxical. Signals convey information, but signal processing researchers sometimes lack the ability to share this information.
Signals convey information. They manifest the presence of life around us. Music can deliver emotional content. Speech can generate knowledge. Sounds reveal events in a living environment. Noise hides data deep behind apparently unintelligible phenomena.
Digital Signal Processing is a great playground where maths, systems theory, engineering and domain-specific knowledge meet. I like to devote my career to signals of all sorts.
Get in touch with any questions or comments regarding my work and publications.