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Time- and value-continuous explainable affect estimation in-the-wild.

. University of Augsburg, Germany, (2022)

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SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild., , , , , , , , , and 3 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 43 (3): 1022-1040 (2021)Learning Image-based Representations for Heart Sound Classification., , , , , and . DH, page 143-147. ACM, (2018)Efficient Melodic Query Based Audio Search for Hindustani Vocal Compositions., , , , and . ISMIR, page 591-597. (2015)I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild., , , and . CBMS, page 465-470. IEEE, (2019)How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers., , , , , and . SPECOM, volume 11096 of Lecture Notes in Computer Science, page 490-500. Springer, (2018)Time- and value-continuous explainable affect estimation in-the-wild.. University of Augsburg, Germany, (2022)Wavelets Revisited for the Classification of Acoustic Scenes., , , , , and . DCASE, page 108-112. (2017)Deep Sequential Image Features on Acoustic Scene Classification., , , , , and . DCASE, page 113-117. (2017)A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation., , , , , , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)