Search Results for author: Federico Avanzini

Found 5 papers, 4 papers with code

Acoustics-specific Piano Velocity Estimation

1 code implementation30 Mar 2022 Federico Simonetta, Stavros Ntalampiras, Federico Avanzini

This is due to 1) the different mappings between MIDI parameters used by different instruments, and 2) the fact that musicians adapt their way of playing to the surrounding acoustic environment.

Music Transcription

A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions

1 code implementation24 Feb 2022 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.

Music Transcription Resynthesis

SofaMyRoom: a fast and multiplatform "shoebox" room simulator for binaural room impulse response dataset generation

1 code implementation24 Jun 2021 Roberto Barumerli, Daniele Bianchi, Michele Geronazzo, Federico Avanzini

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 transfer functions (HRTFs).

Dataset Generation Room Impulse Response (RIR)

ASMD: an automatic framework for compiling multimodal datasets with audio and scores

2 code implementations4 Mar 2020 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 music computing and assessing the generalization abilities of machine learning models.

Multimedia Digital Libraries Sound Audio and Speech Processing H.5.5; I.2.m; H.3.7; J.5

Multimodal music information processing and retrieval: survey and future challenges

no code implementations14 Feb 2019 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.

Information Retrieval Music Information Retrieval +2

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