Andrea Cogliati

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Automatic music transcription (AMT) is the process of converting an acoustic musical signal into a symbolic musical representation, such as a MIDI file, which contains the pitches, the onsets and offsets of the notes and, possibly, their dynamics and sources (i.e., instruments). Most existing algorithms for AMT operate in the frequency domain, which(More)
Automatic music transcription (AMT) is the process of converting an acoustic musical signal into a symbolic musical representation such as a MIDI piano roll, which contains the pitches, the onsets and offsets of the notes and, possibly, their dynamic and source (i.e., instrument). Existing algorithms for AMT commonly identify pitches and their saliences in(More)
This letter extends our prior work on context-dependent piano transcription to estimate the length of the notes in addition to their pitch and onset. This approach employs convolutional sparse coding along with lateral inhibition constraints to approximate a musical signal as the sum of piano note waveforms (dictionary elements) convolved with their(More)
This paper presents a novel approach to automatic transcription of piano music in a context-dependent setting. This approach employs convolutional sparse coding to approximate the music waveform as the summation of piano note waveforms dictionary elements convolved with their temporal activations onset transcription. The piano note waveforms are(More)
INTRODUCTION Cardiac patients are more prone to develop hemodynamic instability on induction of anesthesia and endotracheal intubation. The Airtraq(®) optical laryngoscope is a single-use rigid video laryngoscope that has been developed to facilitate tracheal intubation. There are limited studies comparing differences in the circulatory responses to(More)
High-speed scanning in optical coherence tomography (OCT) often comes with either compromises in image quality, the requirement for post-processing of the acquired images, or both. We report on distortion-free OCT volumetric imaging with a dual-axis micro-electro-mechanical system (MEMS)-based handheld imaging probe. In the context of an imaging probe with(More)
Automatic music transcription aims to transcribe musical performances into music notation. However, existing transcription systems that have been described in research papers typically focus on multi-F0 estimation from audio and only output notes in absolute terms, showing frequency and absolute time (a piano-roll representation), but not in musical terms,(More)
In this submission for MIREX 2014 we utilize a novel piano music transcription algorithm based on the temporal evolution of piano notes. Most existing transcription algorithms, especially those based on Non-negative matrix factorization and Probabilistic latent component analysis, operate on a spectrogram on a frame-by-frame basis, i.e., they do not(More)