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Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks., , , , and . EUSIPCO, page 1-5. IEEE, (2019)Colouration in Local Wave Field Synthesis., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (10): 1913-1924 (2018)Spatial Audio Rendering., , , and . Quality of Experience, Springer, (2014)Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation., , , and . CoRR, (2017)audb - Sharing and Versioning of Audio and Annotation Data in Python., , , , and . CoRR, (2023)Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (9): 10745-10759 (September 2023)A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning., , , , , and . LREC, page 1917-1924. European Language Resources Association, (2022)BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation., , , , and . ICASSP, page 596-600. IEEE, (2018)Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks., , , , and . CoRR, (2018)Evaluation of perceptual properties of phase-mode beamforming in the context of data-based binaural synthesis., and . ISCCSP, page 1-4. IEEE, (2012)