50 citations · 52 across the 5 of their papers we have counts for
6 papers
A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions
Federico Simonetta, Federico Avanzini, Stavros Ntalampiras
This study focuses on the perception of music performances when contextual factors, such as room acoustics and instrument, change. We propose to distinguish the concept of "perform…
Acoustics-specific Piano Velocity Estimation
Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
Motivated by the state-of-art psychological research, we note that a piano performance transcribed with existing Automatic Music Transcription (AMT) methods cannot be successfully…
Audio-to-Score Alignment Using Deep Automatic Music Transcription
Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
Audio-to-score alignment (A2SA) is a multimodal task consisting in the alignment of audio signals to music scores. Recent literature confirms the benefits of Automatic Music Transc…
SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation
Roberto Barumerli, Daniele Bianchi, Michele Geronazzo +1
This paper introduces a shoebox room simulator able to systematically generate synthetic datasets of binaural room impulse responses (BRIRs) given an arbitrary set of head-related…
ASMD: an automatic framework for compiling multimodal datasets with audio and scores
Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
This paper describes an open-source Python framework for handling datasets for music processing tasks, built with the aim of improving the reproducibility of research projects in m…
Multimodal music information processing and retrieval: survey and future challenges
Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
Towards improving the performance in various music information processing tasks, recent studies exploit different modalities able to capture diverse aspects of music. Such modaliti…