Search Results for author: Gabriel Meseguer-Brocal

Found 6 papers, 5 papers with code

A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation

1 code implementation18 Mar 2022 Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert

Despite its simplicity, benchmark results show our system's note estimation to be substantially better than a comparable baseline, and its frame-level accuracy to be only marginally below those of specialized state-of-the-art AMT systems.

Music Transcription

MULTIMODAL ANALYSIS: Informed content estimation and audio source separation

no code implementations27 Apr 2021 Gabriel Meseguer-Brocal

This dissertation proposes the study of multimodal learning in the context of musical signals.

Audio Source Separation

Data Cleansing with Contrastive Learning for Vocal Note Event Annotations

1 code implementation5 Aug 2020 Gabriel Meseguer-Brocal, Rachel Bittner, Simon Durand, Brian Brost

We propose a novel data cleansing model for time-varying, structured labels which exploits the local structure of the labels, and demonstrate its usefulness for vocal note event annotations in music.

Contrastive Learning Information Retrieval +1

Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations

2 code implementations2 Jul 2019 Gabriel Meseguer-Brocal, Geoffroy Peeters

The input vector is embedded to obtain the parameters that control Feature-wise Linear Modulation (FiLM) layers.

Audio Source Separation

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm

1 code implementation25 Jun 2019 Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters

We start with a set of manual annotations of draft time-aligned lyrics and notes made by non-expert users of Karaoke games.

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