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triés par
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Non-negative matrix factorization for single-channel EEG artifact rejectionICASSP, 2013, Vancouver, Canada. ⟨10.1109/ICASSP.2013.6637836⟩
Communication dans un congrès
hal-00958775v1
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Non-negative Tensor Factorization for Single-Channel EEG Artifact RejectionMLSP, Sep 2013, Southampton, United Kingdom. ⟨10.1109/MLSP.2013.6661983⟩
Communication dans un congrès
hal-00959103v1
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An overview of informed audio source separationWIAMIS 2013 - The 14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services, Jul 2013, Paris, France. pp.1-4, ⟨10.1109/WIAMIS.2013.6616139⟩
Communication dans un congrès
hal-00958661v1
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Localisation et rehaussement de sources de parole au format AmbisoniqueTraitement du signal et de l'image [eess.SP]. Université de Lorraine, 2019. Français. ⟨NNT : 2019LORR0124⟩
Thèse
tel-02393258v1
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Projection-based demixing of spatial audioIEEE Transactions on Audio, Speech and Language Processing, 2016, ⟨10.1109/TASLP.2016.2570945⟩
Article dans une revue
hal-01260588v2
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Quantization-aware Parameter Estimation for Audio Upmixing42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017, New Orleans, United States
Communication dans un congrès
hal-01515955v1
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Détection de motifs audio pour la séparation de sources guidée. Application aux bandes- son de films.Son [cs.SD]. Université de Rennes 1, 2015. Français. ⟨NNT : ⟩
Thèse
tel-01245318v1
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Apprentissage profond pour le rehaussement de la parole dans les antennes acoustiques ad-hocInformatique [cs]. Université de Lorraine, 2021. Français. ⟨NNT : 2021LORR0277⟩
Thèse
tel-03598275v1
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Interference reduction on full-length live recordingsICASSP: International Conference on Acoustics, Speech, and Signal Processing, Apr 2018, Calgary, Canada. pp.736-740, ⟨10.1109/ICASSP.2018.8462621⟩
Communication dans un congrès
hal-01713889v1
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An experimental comparison of source separation and beamforming techniques for microphone array signal enhancementMLSP - 23rd IEEE International Workshop on Machine Learning for Signal Processing - 2013, Sep 2013, Southampton, United Kingdom
Communication dans un congrès
hal-00850173v1
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Asteroid: the PyTorch-based audio source separation toolkit for researchersInterspeech 2020, Oct 2020, Shanghai, China
Communication dans un congrès
hal-02962964v1
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MICbots: collecting large realistic datasets for speech and audio research using mobile robotsIEEE 2015 International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia
Communication dans un congrès
hal-01116822v1
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Separake: Source Separation with a Little Help From EchoesICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.6897-6901, ⟨10.1109/ICASSP.2018.8461345⟩
Communication dans un congrès
hal-01909531v1
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Consistent Wiener filtering for audio source separationIEEE Signal Processing Letters, 2013, 20 (3), pp.217-220. ⟨10.1109/LSP.2012.2225617⟩
Article dans une revue
hal-00742687v1
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The 2016 Signal Separation Evaluation CampaignLVA/ICA 2017 - 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. pp.323 - 332, ⟨10.1007/978-3-319-53547-0_31⟩
Communication dans un congrès
hal-01472932v1
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Audio source separation with magnitude priors: the BEADS modelICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.56-60, ⟨10.1109/ICASSP.2018.8462515⟩
Communication dans un congrès
hal-01713886v2
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