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ORCIDGiorgia Cantisani
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2020 – today
- 2023
[c6]Giorgia Cantisani
, Amirhossein Chalehchaleh, Giovanni M. Di Liberto, Shihab A. Shamma:
Investigating the cortical tracking of speech and music with sung speech. INTERSPEECH 2023: 5157-5161- 2021
- [b1]Giorgia Cantisani:
Neuro-steered music source separation. (Séparation de sources musicales neuroguidée). Polytechnic Institute of Paris, France, 2021 - [c5]Giorgia Cantisani, Slim Essid, Gaël Richard:
Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF. ICASSP 2021: 36-40 - [c4]Giorgia Cantisani, Alexey Ozerov, Slim Essid, Gaël Richard:
User-Guided One-Shot Deep Model Adaptation for Music Source Separation. WASPAA 2021: 111-115
2010 – 2019
- 2019
- [c3]Giorgia Cantisani, Gabriel Trégoat, Slim Essid, Gaël Richard:
MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music. SMM 2019 - [c2]Giorgia Cantisani, Slim Essid, Gaël Richard:
EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music. WASPAA 2019: 80-84 - 2015
- [c1]Enrico Grisan, Giorgia Cantisani, Giacomo Tarroni, Seung Keun Yoon, Michele Rossi:
A supervised learning approach for the robust detection of heart beat in plethysmographic data. EMBC 2015: 5825-5828
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last updated on 2024-10-07 22:19 CEST by the dblp team
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