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Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development.

, , , , , , and . INTERSPEECH, page 2997-3001. ISCA, (2016)

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Hybrid generative-discriminative training of Gaussian mixture models., , , and . Pattern Recognit. Lett., (2018)Quantized Neural Networks for Radar Interference Mitigation., , , , and . CoRR, (2020)Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development., , , , , , and . INTERSPEECH, page 2997-3001. ISCA, (2016)Paracyclophanes as model compounds for strongly interacting π-systems. Part 1. Pseudo-ortho-dihydroxy2.2paracyclophane, , , , , , and . Phys. Chem. Chem. Phys., 12 (32): 9339-9346 (2010)Paracyclophanes as model compounds for strongly interacting $\uppi$-systems. Part 2: mono-hydroxy2.2paracyclophane, , , , , and . Physical Chemistry Chemical Physics, 13 (23): 11076 (2011)Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation., , , , and . IEEE J. Sel. Top. Signal Process., 15 (4): 927-940 (2021)End-to-end Keyword Spotting using Neural Architecture Search and Quantization., , and . CoRR, (2021)Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation., , , , and . CoRR, (2022)Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement., , , , , and . CoRR, (2020)Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning., , , , , , , , and . ICTSS, volume 11812 of Lecture Notes in Computer Science, page 3-21. Springer, (2019)