Martín Rocamora

According to our database, Martín Rocamora authored at least 17 papers between 2009 and 2024.

Collaborative distances:

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

2024

Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio.

Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca, Pablo Zinemanas, Dmitry Bogdanov, Xavier Serra, Martín Rocamora

CoRR, 2024

2022

Adapting meter tracking models to Latin American music.

Lucas S. Maia, Martín Rocamora, Luiz W. P. Biscainho, Magdalena Fuentes

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding.

Magdalena Fuentes, Bea Steers, Pablo Zinemanas, Martín Rocamora, Luca Bondi, Julia Wilkins, Qianyi Shi, Yao Hou, Samarjit Das, Xavier Serra, Juan Pablo Bello

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Soundata: A Python library for reproducible use of audio datasets.

Magdalena Fuentes, Justin Salamon, Pablo Zinemanas, Martín Rocamora, Genís Paja, Irán R. Román, Rachel M. Bittner, Marius Miron, Xavier Serra, Juan Pablo Bello

CoRR, 2021

Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes.

Pablo Zinemanas, Martín Rocamora, Eduardo Fonseca, Frederic Font, Xavier Serra

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

DCASE-Models: A Python Library for Computational Environmental Sound Analysis using Deep-Learning Models.

Pablo Zinemanas, Ignacio Hounie, Pablo Cancela, Frederic Font, Martín Rocamora, Xavier Serra

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis.

Lucas Maia, Magdalena Fuentes, Luiz W. P. Biscainho, Martín Rocamora, Slim Essid

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

Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning.

Magdalena Fuentes, Lucas Maia, Martín Rocamora, Luiz W. P. Biscainho, Hélène Camille Crayencour, Slim Essid, Juan Pablo Bello

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

End-to-end Convolutional Neural Networks for Sound Event Detection in Urban Environments.

Pablo Zinemanas, Pablo Cancela, Martín Rocamora

Proceedings of the 24th Conference of Open Innovations Association, 2019

MAVD: A Dataset for Sound Event Detection in Urban Environments.

Pablo Zinemanas, Pablo Cancela, Martín Rocamora

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2015

Beat and Downbeat Tracking Based on Rhythmic Patterns Applied to the Uruguayan Candombe Drumming.

Leonardo O. Nunes, Martín Rocamora, Luis Jure, Luiz W. P. Biscainho

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Modeling Onset Spectral Features for Discrimination of Drum Sounds.

Martín Rocamora, Luiz W. P. Biscainho

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

A Multimodal Approach for Percussion Music Transcription from Audio and Video.

Bernardo Marenco, Magdalena Fuentes, Florencia Lanzaro, Martín Rocamora, Alvaro Gómez

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

Query by humming: Automatically building the database from music recordings.

Martín Rocamora, Pablo Cancela, Alvaro Pardo

Pattern Recognit. Lett., 2014

2012

Pitch Content Visualization Tools for Music Performance Analysis.

Luis Jure, Ernesto López, Martín Rocamora, Pablo Cancela, Haldo Sponton, Ignacio Irigaray

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Separation and Classification of Harmonic Sounds for Singing Voice Detection.

Martín Rocamora, Alvaro Pardo

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2009

An Efficient Multi-Resolution Spectral Transform for Music Analysis.

Pablo Cancela, Martín Rocamora, Ernesto López

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009