Andrea Martelloni is a guitar player, composer, producer and fourth-year PhD student at the Artificial Intelligence and Music programme at C4DM, Queen . His research includes work on the HITar and the field of gesture recognition applied to expressive digital musical instruments, as well as behavioural methods to evaluate DMIs such as micro-phenomenology. He has being playing guitar for over twenty years, studying at the Centro Professione Musica in Milan during his teenage and carrying on as self-taught afterwards. He is an active session musician in the South East of England. His current main project is Sloth In The City with wife and saxophonist Betty Accorsi. Other projects include solo guitar act Virgult, jazz guitar (Betty Accorsi Quartet, Madz and the Martians), function (Miss and the Demeanors), folk (Monkey See Monkey Do, Hilltop Ceilidh Band).

Mathieu Barthet (PhD) is a senior lecturer at Queen Mary University of London and guitarist/composer. He received MSc degrees in electronics and computer science (Paris VI University, 2003) and acoustics (Aix-Marseille University/Ecole Centrale Marseille, 2004). He was awarded a PhD in acoustics, signal processing, and computer science applied to music (Aix-Marseille University/CNRS-LMA, 2008). He holds a professional certificate in music theory and composition (Berklee Online). He is the director of the UKRI Media & Arts Technology Centre for Doctoral Training (CDT), and co-investigator on the UKRI AI & Music CDT. He co-authored over 130 publications on new interfaces for musical expression, music information retrieval, and music perception.

This proposal presents the performance of an original piece inspired by the Irish folk tradition. The HITar, an augmented guitar prototype for percussive fingerstyle, is used here to imitate the sound of the bodhrán, an Irish frame drum, while improvising over the theme of a jig.