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ORCIDHélène C. Crayencour
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- affiliation: French National Centre for Scientific Research (CNRS), Paris, France
- affiliation: Paris-Sud University, L2S, Orsay, France
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2020 – today
- 2024
[j3]Morgan Buisson
, Brian McFee, Slim Essid, Hélène C. Crayencour:
Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2141-2152 (2024)- 2023
- [c9]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
A Repetition-Based Triplet Mining Approach for Music Segmentation. ISMIR 2023: 417-424 - 2022
- [j2]Polina Proutskova, Daniel Wolff, György Fazekas, Klaus Frieler, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde, Martin Pfleiderer, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon:
The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 74: 100735 (2022) - [c8]Luke Dzwonczyk, Léo Chédin, Alejandro Saldarriaga-Fuertes, Max Sherr, Hélène-Camille Crayencour, Carmine-Emanuele Cella:
Source Separation Methods for Computer-assisted Orchestration. AIMC 2022 - [c7]Jeremy J. Lee, Carmine Cella, Hélène-Camille Crayencour:
Vivace: Web Application for Real-Time feedback on Piano Performance. AIMC 2022 - [c6]Morgan Buisson, Brian McFee, Slim Essid, Hélène C. Crayencour:
Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. ISMIR 2022: 591-597 - 2020
- [c5]Carmine-Emanuele Cella, Luke Dzwonczyk, Alejandro Saldarriaga-Fuertes, Hongfu Liu, Hélène-Camille Crayencour:
A Study on Neural Models for Target-Based Computer-Assisted Musical Orchestration. AIMC 2020
2010 – 2019
- 2019
- [j1]Hélène C. Crayencour, Carmine-Emanuele Cella:
Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval. Frontiers Digit. Humanit. 6: 6 (2019) - [c4]Klaus Frieler, Dogac Basaran, Frank Höger, Hélène-Camille Crayencour, Geoffroy Peeters, Simon Dixon:
Don't hide in the frames: Note- and pattern-based evaluation of automated melody extraction algorithms. DLfM 2019: 25-32 - [c3]Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
A Music Structure Informed Downbeat Tracking System Using Skip-chain Conditional Random Fields and Deep Learning. ICASSP 2019: 481-485 - [c2]Magdalena Fuentes, Lucas Simões Maia, Martín Rocamora, Luiz W. P. Biscainho, Hélène C. 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 - 2018
- [c1]Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking. ISMIR 2018: 106-112
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