50 citations · 70 across the 9 of their papers we have counts for
4 papers · 1 filter
Deep Feature Learning for Medical Acoustics
Alessandro Maria Poirè, Federico Simonetta, Stavros Ntalampiras
The purpose of this paper is to compare different learnable frontends in medical acoustics tasks. A framework has been implemented to classify human respiratory sounds and heartbea…
Variational Autoencoders for Anomaly Detection in Respiratory Sounds
Michele Cozzatti, Federico Simonetta, Stavros Ntalampiras
This paper proposes a weakly-supervised machine learning-based approach aiming at a tool to alert patients about possible respiratory diseases. Various types of pathologies may aff…
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…