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Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks., , , , и . EUSIPCO, стр. 1-5. IEEE, (2019)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap., , , , , , и . 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., , , , , и . LREC, стр. 1917-1924. European Language Resources Association, (2022)BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation., , , , и . ICASSP, стр. 596-600. IEEE, (2018)Evaluation of perceptual properties of phase-mode beamforming in the context of data-based binaural synthesis., и . ISCCSP, стр. 1-4. IEEE, (2012)Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks., , , , и . CoRR, (2018)Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation., , , и . LVA/ICA, том 10891 из Lecture Notes in Computer Science, стр. 340-350. Springer, (2018)Nkululeko: A Tool For Rapid Speaker Characteristics Detection., , , , и . LREC, стр. 1925-1932. European Language Resources Association, (2022)Probing speech emotion recognition transformers for linguistic knowledge., , , , , , , и . INTERSPEECH, стр. 146-150. ISCA, (2022)