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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...13 Hits 1 – 20 of 260 1 Automatic Speech Recognition and Query By Example for Creole Languages Documentation MACAIRE, Cécile; Schwab, Didier; Lecouteux, Benjamin... In: Findings of the Association for Computational Linguistics: ACL 2022 ; https://hal.archives-ouvertes.fr/hal-03625303 ; Findings of the Association for Computational Linguistics: ACL 2022, May 2022, Dublin, Ireland (2022) BASE Show details 2 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 3 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 4 Emergent Communication for Understanding Human Language Evolution: What's Missing? ... Galke, Lukas; Ram, Yoav; Raviv, Limor. - : arXiv, 2022 BASE Show details 5 Multimodal neural networks better explain multivoxel patterns in the hippocampus ... Choksi, Bhavin; Mozafari, Milad; VanRullen, Rufin. - : arXiv, 2022 BASE Show details 6 End-to-end speaker segmentation for overlap-aware resegmentation Bredin, Hervé; Laurent, Antoine In: Interspeech 2021 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-03257524 ; Interspeech 2021, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org/ (2021) BASE Show details 7 High-resolution speaker counting in reverberant rooms using CRNN with Ambisonics features Grumiaux, Pierre-Amaury; Kitic, Srdan; Girin, Laurent... In: EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-03537323 ; EUSIPCO 2020 - 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. pp.71-75, ⟨10.23919/Eusipco47968.2020.9287637⟩ (2021) BASE Show details 8 Tackling Morphological Analogies Using Deep Learning -- Extended Version Alsaidi, Safa; Decker, Amandine; Marquer, Esteban... In: https://hal.inria.fr/hal-03425776 ; 2021 (2021) BASE Show details 9 Recognizing lexical units in low-resource language contexts with supervised and unsupervised neural networks MACAIRE, Cécile In: https://hal.archives-ouvertes.fr/hal-03429051 ; [Research Report] LACITO (UMR 7107). 2021 (2021) BASE Show details 10 What does the Canary Say? Low-Dimensional GAN Applied to Birdsong Pagliarini, Silvia; Trouvain, Nathan; Leblois, Arthur... In: https://hal.inria.fr/hal-03244723 ; 2021 (2021) BASE Show details 11 What does the Canary Say? Low-Dimensional GAN Applied to Birdsong Pagliarini, Silvia; Trouvain, Nathan; Leblois, Arthur... In: https://hal.inria.fr/hal-03244723 ; 2021 (2021) BASE Show details 12 Artificial Text Detection via Examining the Topology of Attention Maps Kushnareva, Laida; Cherniavskii, Daniil; Mikhailov, Vladislav... In: ACL Anthology ; Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03456191 ; Empirical Methods in Natural Language Processing, ACL (Association for Computational Linguistics), Nov 2021, Punta Cana, Dominican Republic (2021) BASE Show details 13 Modeling the neural network responsible for song learning ; Modélisation du réseau neuronal responsable de l'apprentissage du chant chez l'oiseau chanteur Pagliarini, Silvia. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03217834 ; Modeling and Simulation. Université de Bordeaux, 2021. English. ⟨NNT : 2021BORD0107⟩ (2021) BASE Show details 14 Multimodal Coarticulation Modeling : Towards the animation of an intelligible talking head ; Modélisation de la coarticulation multimodale : vers l'animation d'une tête parlante intelligible Biasutto-Lervat, Théo. - : HAL CCSD, 2021 In: https://hal.univ-lorraine.fr/tel-03203815 ; Intelligence artificielle [cs.AI]. Université de Lorraine, 2021. Français. ⟨NNT : 2021LORR0019⟩ (2021) BASE Show details 15 Impact of Segmentation and Annotation in French end-to-end Synthesis Lenglet, Martin; Perrotin, Olivier; Bailly, Gérard In: Proc. 11th ISCA Speech Synthesis Workshop (SSW 11) ; SSW 11th ISCA Speech Synthesis Workshop ; https://hal.archives-ouvertes.fr/hal-03362000 ; SSW 11th ISCA Speech Synthesis Workshop, Aug 2021, Budapest, Hungary. pp.13-18, ⟨10.21437/SSW.2021-3⟩ ; https://ssw11.hte.hu/ (2021) BASE Show details 16 Which Hype for my New Task? Hints and Random Search for Reservoir Computing Hyperparameters Hinaut, Xavier; Trouvain, Nathan In: ICANN 2021 - 30th International Conference on Artificial Neural Networks ; https://hal.inria.fr/hal-03203318 ; ICANN 2021 - 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia (2021) BASE Show details 17 Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs Trouvain, Nathan; Hinaut, Xavier In: https://hal.inria.fr/hal-03203374 ; 2021 (2021) BASE Show details 18 Which Hype for my New Task? Hints and Random Search for Reservoir Computing Hyperparameters Hinaut, Xavier; Trouvain, Nathan In: https://hal.inria.fr/hal-03203318 ; 2021 (2021) BASE Show details 19 Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs Trouvain, Nathan; Hinaut, Xavier In: ICANN 2021 - 30th International Conference on Artificial Neural Networks ; https://hal.inria.fr/hal-03203374 ; ICANN 2021 - 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava, Slovakia. pp.71--82, ⟨10.1007/978-3-030-86383-8_6⟩ ; https://link.springer.com/chapter/10.1007/978-3-030-86383-8_6 (2021) BASE Show details 20 On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition Macary, Manon; Tahon, Marie; Estève, Yannick; Rousseau, Anthony In: IEEE Spoken Language Technology Workshop ; https://hal.archives-ouvertes.fr/hal-03003469 ; IEEE Spoken Language Technology Workshop, Jan 2021, Virtual, China (2021) Abstract: Accepted in IEEE SLT 2021 ; International audience ; Pre-training for feature extraction is an increasingly studied approach to get better continuous representations of audio and text content. In the present work, we use wav2vec and camemBERT as self-supervised learned models to represent our data in order to perform continuous emotion recognition from speech (SER) on AlloSat, a large French emotional database describing the satisfaction dimension, and on the state of the art corpus SEWA focusing on valence, arousal and liking dimensions. To the authors' knowledge, this paper presents the first study showing that the joint use of wav2vec and BERT-like pre-trained features is very relevant to deal with continuous SER task, usually characterized by a small amount of labeled training data. Evaluated by the well-known concordance correlation coefficient (CCC), our experiments show that we can reach a CCC value of 0.825 instead of 0.592 when using MFCC in conjunction with word2vec word embedding on the AlloSat dataset. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; [INFO]Computer Science [cs]; CamemBERT; Continuous Speech Emotion Recognition; Pre-trained feature extraction; Wav2vec URL: https://hal.archives-ouvertes.fr/hal-03003469/document https://hal.archives-ouvertes.fr/hal-03003469/file/2011.09212.pdf https://hal.archives-ouvertes.fr/hal-03003469 BASE Hide details Page: 1 2 3 4 5...13

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