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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...105 Hits 1 – 20 of 2.082 1 Emotional Speech Recognition Using Deep Neural Networks Trinh Van, Loan; Dao Thi Le, Thuy; Le Xuan, Thanh; Castelli, Eric In: ISSN: 1424-8220 ; Sensors ; https://hal.archives-ouvertes.fr/hal-03632853 ; Sensors, MDPI, 2022, 22 (4), pp.1414. ⟨10.3390/s22041414⟩ (2022) Abstract: International audience ; The expression of emotions in human communication plays a very important role in the information that needs to be conveyed to the partner. The forms of expression of human emotions are very rich. It could be body language, facial expressions, eye contact, laughter, and tone of voice. The languages of the world’s peoples are different, but even without understanding a language in communication, people can almost understand part of the message that the other partner wants to convey with emotional expressions as mentioned. Among the forms of human emotional expression, the expression of emotions through voice is perhaps the most studied. This article presents our research on speech emotion recognition using deep neural networks such as CNN, CRNN, and GRU. We used the Interactive Emotional Dyadic Motion Capture (IEMOCAP) corpus for the study with four emotions: anger, happiness, sadness, and neutrality. The feature parameters used for recognition include the Mel spectral coefficients and other parameters related to the spectrum and the intensity of the speech signal. The data augmentation was used by changing the voice and adding white noise. The results show that the GRU model gave the highest average recognition accuracy of 97.47%. This result is superior to existing studies on speech emotion recognition with the IEMOCAP corpus. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; CNN; CRNN; data augmentation; emotion; GRU; IEMOCAP; recognition; speech URL: https://hal.archives-ouvertes.fr/hal-03632853/document https://hal.archives-ouvertes.fr/hal-03632853 https://doi.org/10.3390/s22041414 https://hal.archives-ouvertes.fr/hal-03632853/file/sensors-22-01414-v2.pdf BASE Hide details 2 Towards combined semantic and lexical scores based on a new representation of textual data to extract experimental data from scientific publications Lentschat, Martin; Buche, Patrice; Dibie-Barthelemy, Juliette... In: ISSN: 1751-5858 ; EISSN: 1751-5866 ; International Journal of Intelligent Information and Database Systems ; https://hal.inrae.fr/hal-03616243 ; International Journal of Intelligent Information and Database Systems, Inderscience, 2022, 15 (1), pp.78. ⟨10.1504/IJIIDS.2022.120146⟩ (2022) BASE Show details 3 Islands and Bridges of Language: Bio-Inspired Structural Analysis of Language Embedding Data Zhou, Hongwei. - : eScholarship, University of California, 2022 BASE Show details 4 TIPD : Taiwan Indigenous Peoples open research Data 台灣原住民基礎開放研究資料庫 ... Lin, Ji-Ping. - : Open Science Framework, 2022 BASE Show details 5 FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 6 FAIRsharing record for: Information technology -- Hypermedia/Time-based Structuring Language (HyTime) ... : ISO/IEC 10744:1997 ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 7 FAIRsharing record for: Language resource management -- Feature structures -- Part 1: Feature structure representation ... : ISO 24610-1:2006 ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 8 Between Deterministic and Nondeterministic Quantitative Automata (Invited Talk) Boker, Udi. - : LIPIcs - Leibniz International Proceedings in Informatics. 30th EACSL Annual Conference on Computer Science Logic (CSL 2022), 2022 BASE Show details 9 Structure and Learning (Dagstuhl Seminar 21362) Dong, Tiansi; Rettinger, Achim; Tang, Jie. - : Dagstuhl Reports. DagRep, Volume 11, Issue 8, 2022 BASE Show details 10 Conditional Adversarial Learning to Enhance Bot Detection ... Διαλεκτάκης, Γεώργιος Ιωάννη. - : Aristotle University of Thessaloniki, 2022 BASE Show details 11 SSHOC practical prompts for data and research ... Negoita, Daniela; Bidargaddi, Archana; Franzese, Fabio. - : Zenodo, 2022 BASE Show details 12 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 13 SSHOC practical prompts for data and research ... Negoita, Daniela; Bidargaddi, Archana; Franzese, Fabio. - : Zenodo, 2022 BASE Show details 14 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 15 FAIRsharing record for: Extensible Stylesheet Language ... : XSL ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 16 Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ... Rovetto, Robert J.. - : ESIP, 2022 BASE Show details 17 Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ... Rovetto, Robert J.. - : ESIP, 2022 BASE Show details 18 Toward an Epistemic Web Hyman, Malcolm D.; Renn, Jürgen In: 197 ; RatSWD Working Paper Series ; 22 (2022) BASE Show details 19 Arqus Openness Position Paper Kaier, Christian; Díaz Urrutia, María; García Gil, María Ángeles. - : Arqus Alliance, 2022 BASE Show details 20 Detecting weak and strong Islamophobic hate speech on social media Vidgen, Bertie; Yasseri, Taha. - : Taylor & Francis, 2022 BASE Show details Page: 1 2 3 4 5...105

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