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Affect recognition in real-life acoustic conditions - a new perspective on feature selection.

F. Eyben, F. Weninger, и B. Schuller. INTERSPEECH, стр. 2044-2048. ISCA, (2013)

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Bodo Eyben

Brigitte Eyben

Gabriele Susanne Eyben

Peter-Michael Eyben

Annette Eyben

Другие публикации лиц с тем же именем

MAPTRAITS 2014 - The First Audio/Visual Mapping Personality Traits Challenge - An Introduction: Perceived Personality and Social Dimensions.O. Çeliktutan, F. Eyben, E. Sariyanidi, H. Gunes, и B. Schuller. ICMI, стр. 529-530. ACM, (2014)AVEC 2011-The First International Audio/Visual Emotion Challenge.B. Schuller, M. Valstar, F. Eyben, G. McKeown, R. Cowie, и M. Pantic. ACII (2), том 6975 из Lecture Notes in Computer Science, стр. 415-424. Springer, (2011)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap.J. Wagner, A. Triantafyllopoulos, H. Wierstorf, M. Schmitt, F. Burkhardt, F. Eyben, и B. Schuller. IEEE Trans. Pattern Anal. Mach. Intell., 45 (9): 10745-10759 (сентября 2023)A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning.F. Burkhardt, A. Hacker, U. Reichel, H. Wierstorf, F. Eyben, и B. Schuller. LREC, стр. 1917-1924. European Language Resources Association, (2022)Abandoning emotion classes - towards continuous emotion recognition with modelling of long-range dependencies.M. Wöllmer, F. Eyben, S. Reiter, B. Schuller, C. Cox, E. Douglas-Cowie, и R. Cowie. INTERSPEECH, стр. 597-600. ISCA, (2008)Speaking Corona? Human and Machine Recognition of COVID-19 from Voice.P. Hecker, F. Pokorny, K. Bartl-Pokorny, U. Reichel, Z. Ren, S. Hantke, F. Eyben, D. Schuller, B. Arnrich, и B. Schuller. Interspeech, стр. 1029-1033. ISCA, (2021)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism.B. Schuller, S. Steidl, A. Batliner, A. Vinciarelli, K. Scherer, F. Ringeval, M. Chetouani, F. Weninger, F. Eyben, E. Marchi и 5 other автор(ы). INTERSPEECH, стр. 148-152. ISCA, (2013)Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks.E. Marchi, G. Ferroni, F. Eyben, L. Gabrielli, S. Squartini, и B. Schuller. ICASSP, стр. 2164-2168. IEEE, (2014)Automatic recognition of physiological parameters in the human voice: Heart rate and skin conductance.B. Schuller, F. Friedmann, и F. Eyben. ICASSP, стр. 7219-7223. IEEE, (2013)Masking Speech Contents by Random Splicing: is Emotional Expression Preserved?F. Burkhardt, A. Derington, M. Kahlau, K. Scherer, F. Eyben, и B. Schuller. ICASSP, стр. 1-5. IEEE, (2023)

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