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2020 – today
- 2024
[j2]Lucas S. Maia
, Martín Rocamora, Luiz W. P. Biscainho, Magdalena Fuentes:
Selective Annotation of Few Data for Beat Tracking of Latin American Music Using Rhythmic Features. Trans. Int. Soc. Music. Inf. Retr. 7(1): 99-112 (2024)- [c15]Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca, Pablo Zinemanas, Dmitry Bogdanov, Xavier Serra, Martín Rocamora:
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. ICASSP Workshops 2024: 833-837 - [i4]Pablo Alonso-Jiménez, Leonardo Pepino, Roser Batlle-Roca, Pablo Zinemanas, Dmitry Bogdanov, Xavier Serra, Martín Rocamora:
Leveraging Pre-Trained Autoencoders for Interpretable Prototype Learning of Music Audio. CoRR abs/2402.09318 (2024) - [i3]Andrea Poltronieri, Valentina Presutti, Martín Rocamora:
ChordSync: Conformer-Based Alignment of Chord Annotations to Music Audio. CoRR abs/2408.00674 (2024) - 2023
- [i2]Lucas S. Maia, Martín Rocamora, Luiz W. P. Biscainho, Magdalena Fuentes:
Adapting Meter Tracking Models to Latin American Music. CoRR abs/2304.07186 (2023) - 2022
- [c14]Magdalena Fuentes, Bea Steers, Pablo Zinemanas, Martín Rocamora, Luca Bondi, Julia Wilkins, Qianyi Shi, Yao Hou, Samarjit Das, Xavier Serra, Juan Pablo Bello:
Urban Sound & Sight: Dataset And Benchmark For Audio-Visual Urban Scene Understanding. ICASSP 2022: 141-145 - [c13]Lucas S. Maia, Martín Rocamora, Luiz W. P. Biscainho, Magdalena Fuentes:
Adapting meter tracking models to Latin American music. ISMIR 2022: 361-368 - 2021
- [c12]Pablo Zinemanas, Martín Rocamora, Eduardo Fonseca, Frederic Font, Xavier Serra:
Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes. DCASE 2021: 50-54 - [i1]Magdalena Fuentes, Justin Salamon, Pablo Zinemanas, Martín Rocamora, Genís Paja, Irán R. Román, Rachel M. Bittner, Marius Miron, Xavier Serra, Juan Pablo Bello:
Soundata: A Python library for reproducible use of audio datasets. CoRR abs/2109.12690 (2021) - 2020
- [c11]Pablo Zinemanas, Ignacio Hounie, Pablo Cancela, Frederic Font, Martín Rocamora, Xavier Serra:
DCASE-Models: A Python Library for Computational Environmental Sound Analysis using Deep-Learning Models. DCASE 2020: 240-244
2010 – 2019
- 2019
- [c10]Pablo Zinemanas, Pablo Cancela, Martín Rocamora:
MAVD: A Dataset for Sound Event Detection in Urban Environments. DCASE 2019: 263-267 - [c9]Pablo Zinemanas, Pablo Cancela, Martín Rocamora:
End-to-end Convolutional Neural Networks for Sound Event Detection in Urban Environments. FRUCT 2019: 533-539 - [c8]Magdalena Fuentes, Lucas Maia, Martín Rocamora, Luiz W. P. Biscainho, Hélène Camille Crayencour, Slim Essid, Juan Pablo Bello:
Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning. ISMIR 2019: 251-258 - [c7]Lucas Maia, Magdalena Fuentes, Luiz W. P. Biscainho, Martín Rocamora, Slim Essid:
SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis. ISMIR 2019: 628-635 - 2015
- [c6]Bernardo Marenco, Magdalena Fuentes, Florencia Lanzaro, Martín Rocamora, Alvaro Gómez:
A Multimodal Approach for Percussion Music Transcription from Audio and Video. CIARP 2015: 92-99 - [c5]Martín Rocamora, Luiz W. P. Biscainho:
Modeling Onset Spectral Features for Discrimination of Drum Sounds. CIARP 2015: 100-107 - [c4]Leonardo O. Nunes, Martín Rocamora, Luis Jure, Luiz W. P. Biscainho:
Beat and Downbeat Tracking Based on Rhythmic Patterns Applied to the Uruguayan Candombe Drumming. ISMIR 2015: 264-270 - 2014
- [j1]Martín Rocamora, Pablo Cancela, Alvaro Pardo:
Query by humming: Automatically building the database from music recordings. Pattern Recognit. Lett. 36: 272-280 (2014) - 2012
- [c3]Martín Rocamora, Alvaro Pardo:
Separation and Classification of Harmonic Sounds for Singing Voice Detection. CIARP 2012: 707-714 - [c2]Luis Jure, Ernesto López, Martín Rocamora, Pablo Cancela, Haldo Sponton, Ignacio Irigaray:
Pitch Content Visualization Tools for Music Performance Analysis. ISMIR 2012: 493-498
2000 – 2009
- 2009
- [c1]Pablo Cancela, Martín Rocamora, Ernesto López:
An Efficient Multi-Resolution Spectral Transform for Music Analysis. ISMIR 2009: 309-314
Coauthor Index
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