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Ricard Marxer
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2020 – today
- 2024
- [c37]Clémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Maxime Ferrera
, Vincent Hugel:
SUCRe: Leveraging Scene Structure for Underwater Color Restoration. 3DV 2024: 1488-1497 - [c36]Santiago Cuervo, Ricard Marxer:
Scaling Properties of Speech Language Models. EMNLP 2024: 351-361 - [c35]Santiago Cuervo, Ricard Marxer:
Speech Foundation Models on Intelligibility Prediction for Hearing-Impaired Listeners. ICASSP 2024: 1421-1425 - [c34]Joonas Kalda, Clément Pagés, Ricard Marxer, Tanel Alumäe, Hervé Bredin:
PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings. Odyssey 2024: 115-122 - [i16]Santiago Cuervo, Ricard Marxer:
Speech foundation models on intelligibility prediction for hearing-impaired listeners. CoRR abs/2401.14289 (2024) - [i15]Santiago Cuervo, Ricard Marxer:
Scaling Properties of Speech Language Models. CoRR abs/2404.00685 (2024) - [i14]Paul Best, Santiago Cuervo, Ricard Marxer:
Transfer Learning from Whisper for Microscopic Intelligibility Prediction. CoRR abs/2404.01737 (2024) - 2023
- [j9]Clémentin Boittiaux
Eiffel Tower: A deep-sea underwater dataset for long-term visual localization. Int. J. Robotics Res. 42(9): 689-699 (2023) - [c33]Roger K. Moore
Progress and Prospects for Spoken Language Technology: Results from Five Sexennial Surveys. INTERSPEECH 2023: 401-405 - [c32]Santiago Cuervo, Ricard Marxer:
On the Benefits of Self-supervised Learned Speech Representations for Predicting Human Phonetic Misperceptions. INTERSPEECH 2023: 1788-1792 - [i13]Clémentin Boittiaux, Claire Dune, Maxime Ferrera, Aurélien Arnaubec, Ricard Marxer, Marjolaine Matabos
Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization. CoRR abs/2305.05301 (2023) - 2022
- [j8]Clémentin Boittiaux
Homography-Based Loss Function for Camera Pose Regression. IEEE Robotics Autom. Lett. 7(3): 6242-6249 (2022) - [c31]Santiago Cuervo, Maciej Grabias, Jan Chorowski, Grzegorz Ciesielski, Adrian Lancucki, Pawel Rychlikowski, Ricard Marxer
Contrastive Prediction Strategies for Unsupervised Segmentation and Categorization of Phonemes and Words. ICASSP 2022: 3189-3193 - [c30]Mohammed Hafsati, Kamil Bentounes, Ricard Marxer:
Blind Speech Separation Through Direction of Arrival Estimation Using Deep Neural Networks with a Flexibility on the Number of Speakers. MMSP 2022: 1-5 - [c29]Santiago Cuervo, Adrian Lancucki, Ricard Marxer, Pawel Rychlikowski, Jan Chorowski:
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech. NeurIPS 2022 - [i12]Clémentin Boittiaux, Ricard Marxer, Claire Dune
Homography-Based Loss Function for Camera Pose Regression. CoRR abs/2205.01937 (2022) - [i11]Santiago Cuervo, Adrian Lancucki, Ricard Marxer, Pawel Rychlikowski, Jan Chorowski:
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech. CoRR abs/2206.02211 (2022) - [i10]Clémentin Boittiaux, Ricard Marxer, Claire Dune
SUCRe: Leveraging Scene Structure for Underwater Color Restoration. CoRR abs/2212.09129 (2022) - 2021
- [c28]Inma Hernáez, José Andrés González López, Eva Navas, José Luis Pérez-Córdoba, Ibon Saratxaga, Gonzalo Olivares, Jon Sánchez de la Fuente, Alberto Galdón, Víctor García Romillo, Míriam González-Atienza, Tanja Schultz, Phil D. Green, Michael Wand, Ricard Marxer, Lorenz Diener:
Voice Restoration with Silent Speech Interfaces (ReSSInt). IberSPEECH 2021 - [c27]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw. Interspeech 2021: 971-975 - [c26]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer
Aligned Contrastive Predictive Coding. Interspeech 2021: 976-980 - [i9]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer
Aligned Contrastive Predictive Coding. CoRR abs/2104.11946 (2021) - [i8]Jan Chorowski, Grzegorz Ciesielski, Jaroslaw Dzikowski, Adrian Lancucki, Ricard Marxer, Mateusz Opala, Piotr Pusz, Pawel Rychlikowski, Michal Stypulkowski:
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw. CoRR abs/2106.11603 (2021) - [i7]Santiago Cuervo, Maciej Grabias, Jan Chorowski, Grzegorz Ciesielski, Adrian Lancucki, Pawel Rychlikowski, Ricard Marxer:
Contrastive prediction strategies for unsupervised segmentation and categorization of phonemes and words. CoRR abs/2110.15909 (2021) - 2020
- [c25]Hans J. G. A. Dolfing, Jerome R. Bellegarda, Jan Chorowski
The "ScribbleLens" Dutch Historical Handwriting Corpus. ICFHR 2020: 67-72 - [c24]Guillaume Sanchez, Vincente Guis, Ricard Marxer, Frédéric Bouchara:
Deep Learning Classification with Noisy Labels. ICME Workshops 2020: 1-6 - [c23]Paul Best, Maxence Ferrari, Marion Poupard, Sébastien Paris, Ricard Marxer, Helena Symonds, Paul Spong, Hervé Glotin:
Deep Learning and Domain Transfer for Orca Vocalization Detection. IJCNN 2020: 1-7 - [c22]Maxence Ferrari, Hervé Glotin, Ricard Marxer, Mark Asch
DOCC10: Open access dataset of marine mammal transient studies and end-to-end CNN classification. IJCNN 2020: 1-8 - [c21]Adrian Lancucki, Jan Chorowski
Robust Training of Vector Quantized Bottleneck Models. IJCNN 2020: 1-7 - [c20]Sameer Khurana, Antoine Laurent, Wei-Ning Hsu, Jan Chorowski
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning. INTERSPEECH 2020: 3790-3794 - [i6]Guillaume Sanchez, Vincente Guis, Ricard Marxer, Frédéric Bouchara:
Deep Learning Classification With Noisy Labels. CoRR abs/2004.11116 (2020) - [i5]Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent:
Robust Training of Vector Quantized Bottleneck Models. CoRR abs/2005.08520 (2020) - [i4]Sameer Khurana, Antoine Laurent, Wei-Ning Hsu, Jan Chorowski, Adrian Lancucki, Ricard Marxer, James R. Glass:
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning. CoRR abs/2006.02547 (2020)
2010 – 2019
- 2019
- [c19]Marion Poupard, Maxence Ferrari, Jan Schlüter, Ricard Marxer, Pascale Giraudet, Valentin Barchasz, Valentin Gies
Real-time Passive Acoustic 3D Tracking of Deep Diving Cetacean by Small Non-uniform Mobile Surface Antenna. ICASSP 2019: 8251-8255 - 2018
- [j7]Ricard Marxer
The impact of the Lombard effect on audio and visual speech recognition systems. Speech Commun. 100: 58-68 (2018) - [c18]Mandar Gogate
DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. INTERSPEECH 2018: 2723-2727 - [i3]Mandar Gogate, Ahsan Adeel, Ricard Marxer, Jon Barker, Amir Hussain:
DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. CoRR abs/1808.00060 (2018) - 2017
- [j6]Jon Barker, Ricard Marxer
Multi-microphone speech recognition in everyday environments. Comput. Speech Lang. 46: 386-387 (2017) - [j5]Emmanuel Vincent, Shinji Watanabe
An analysis of environment, microphone and data simulation mismatches in robust speech recognition. Comput. Speech Lang. 46: 535-557 (2017) - [j4]Jon Barker, Ricard Marxer
The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes. Comput. Speech Lang. 46: 605-626 (2017) - [c17]Massimiliano Malavasi, Enrico Turri, José Joaquín Atria, Heidi Christensen
An Innovative Speech-Based User Interface for Smarthomes and IoT Solutions to Help People with Speech and Motor Disabilities. AAATE Conf. 2017: 306-313 - [c16]Ricard Marxer
Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement. INTERSPEECH 2017: 1988-1992 - [p1]Jon P. Barker, Ricard Marxer, Emmanuel Vincent, Shinji Watanabe:
The CHiME Challenges: Robust Speech Recognition in Everyday Environments. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 327-344 - 2016
- [j3]Roger K. Moore
Vocal Interactivity in-and-between Humans, Animals, and Robots. Frontiers Robotics AI 3: 61 (2016) - [j2]Ricard Marxer
Unsupervised Incremental Online Learning and Prediction of Musical Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 863-874 (2016) - [c15]Andrew Abel, Ricard Marxer
A Data Driven Approach to Audiovisual Speech Mapping. BICS 2016: 331-342 - [c14]Massimiliano Malavasi, Enrico Turri, Maria Rosaria Motolese, Ricard Marxer
An Innovative Speech-Based Interface to Control AAL and IoT Solutions to Help People with Speech and Motor Disability. ForItAAL 2016: 269-278 - [c13]María Luisa García Lecumberri
Language Effects in Noise-Induced Word Misperceptions. INTERSPEECH 2016: 640-644 - [c12]Phil D. Green, Ricard Marxer
CloudCAST - Remote Speech Technology for Speech Professionals. INTERSPEECH 2016: 1608-1612 - [c11]Roger K. Moore
Progress and Prospects for Spoken Language Technology: Results from Four Sexennial Surveys. INTERSPEECH 2016: 3012-3016 - [i2]Roger K. Moore, Serge Thill
Vocal Interactivity in-and-between Humans, Animals and Robots (VIHAR) (Dagstuhl Seminar 16442). Dagstuhl Reports 6(10): 154-194 (2016) - 2015
- [c10]Ning Ma
Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition. ASRU 2015: 490-495 - [c9]Jon Barker, Ricard Marxer
The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines. ASRU 2015: 504-511 - [c8]Ricard Marxer, Martin Cooke, Jon Barker:
A framework for the evaluation of microscopic intelligibility models. INTERSPEECH 2015: 2558-2562 - [c7]Iñigo Casanueva, Thomas Hain
Knowledge transfer between speakers for personalised dialogue management. SIGDIAL Conference 2015: 12-21 - [c6]Stacey Oue, Ricard Marxer, Frank Rudzicz
Automatic dysfluency detection in dysarthric speech using deep belief networks. SLPAT@Interspeech 2015: 60-64 - [c5]Phil D. Green, Ricard Marxer, Stuart P. Cunningham, Heidi Christensen
Remote Speech Technology for Speech Professionals - the CloudCAST initiative. SLPAT@Interspeech 2015: 97-102 - [i1]Ricard Marxer, Hendrik Purwins:
Unsupervised Incremental Learning and Prediction of Audio Signals. CoRR abs/1502.00524 (2015) - 2012
- [c4]Juan J. Bosch, Kazunobu Kondo, Ricard Marxer, Jordi Janer:
Score-informed and timbre independent lead instrument separation in real-world scenarios. EUSIPCO 2012: 2417-2421 - [c3]Ricard Marxer
Low-Latency Instrument Separation in Polyphonic Audio Using Timbre Models. LVA/ICA 2012: 314-321 - [c2]Ricard Marxer
A Tikhonov regularization method for spectrum decomposition in low latency audio source separation. ICASSP 2012: 277-280 - [c1]Jordi Janer, Ricard Marxer
Combining a harmonic-based NMF decomposition with transient analysis for instantaneous percussion separation. ICASSP 2012: 281-284
2000 – 2009
- 2009
- [j1]Amaury Hazan, Ricard Marxer
What/when causal expectation modelling applied to audio signals. Connect. Sci. 21(2&3): 119-143 (2009)
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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