Gabriel Meseguer-Brocal

According to our database, Gabriel Meseguer-Brocal authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Lyrics segmentation via bimodal text-audio representation.

Michael Fell, Yaroslav Nechaev, Gabriel Meseguer-Brocal, Elena Cabrio, Fabien Gandon, Geoffroy Peeters

Nat. Lang. Eng., 2022

Movement Analysis and Decomposition with the Continuous Wavelet Transform.

Jules Françoise, Gabriel Meseguer-Brocal, Frédéric Bevilacqua

Proceedings of the MOCO '22: 8th International Conference on Movement and Computing, Chicago, IL, USA, June 22, 2022

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

Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

vocadito: A dataset of solo vocals with f₀, note, and lyric annotations.

Rachel M. Bittner, Katherine Pasalo, Juan José Bosch, Gabriel Meseguer-Brocal, David Rubinstein

CoRR, 2021

MULTIMODAL ANALYSIS: Informed content estimation and audio source separation.

Gabriel Meseguer-Brocal

CoRR, 2021

2020

MULTIMODAL ANALYSIS: Informed content estimation and audio source separation. (ANALYSE MULTIMODALE: estimation informée du contenu et séparation des sources audio).

Gabriel Meseguer-Brocal

PhD thesis, 2020

Creating DALI, a Large Dataset of Synchronized Audio, Lyrics, and Notes.

Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters

Trans. Int. Soc. Music. Inf. Retr., 2020

Data Cleansing with Contrastive Learning for Vocal Note Event Annotations.

Gabriel Meseguer-Brocal, Rachel M. Bittner, Simon Durand, Brian Brost

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Content based singing voice source separation via strong conditioning using aligned phonemes.

Gabriel Meseguer-Brocal, Geoffroy Peeters

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

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

Gabriel Meseguer-Brocal, Geoffroy Peeters

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm..

Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018