5 papers
Real-time, EDM-inspired sonification of the activity of a supercomputer
Marco Alunno, Paolo Bientinesi
The project described in this paper explores the informative sonification of data received in real time from a supercomputer. These data capture the current activities in all the n…
Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
Automatic drum transcription is a critical tool in Music Information Retrieval for extracting and analyzing the rhythm of a music track, but it is limited by the size of the datase…
ADTOF: A large dataset of non-synthetic music for automatic drum transcription
Mickael Zehren, Marco Alunno, Paolo Bientinesi
The state-of-the-art methods for drum transcription in the presence of melodic instruments (DTM) are machine learning models trained in a supervised manner, which means that they r…
Automatic Detection of Cue Points for DJ Mixing
Mickaël Zehren, Marco Alunno, Paolo Bientinesi
The automatic identification of cue points is a central task in applications as diverse as music thumbnailing, mash-ups generation, and DJ mixing. Our focus lies in electronic danc…
Assessment of sound spatialisation algorithms for sonic rendering with headsets
Ali Tarzan, Marco Alunno, Paolo Bientinesi
Given an input sound signal and a target virtual sound source, sound spatialisation algorithms manipulate the signal so that a listener perceives it as though it were emitted from…