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The Deception Sub-Challenge: The Data., , , , , , , , , and . INTERSPEECH, ISCA, (2016)The Native Language Sub-Challenge: The Data., , , , , , , , , and . INTERSPEECH, ISCA, (2016)Snore Sound Classification Using Image-Based Deep Spectrum Features., , , , , , , and . INTERSPEECH, page 3512-3516. ISCA, (2017)Presenting the Acoustic Sounds for Wellbeing Dataset and Baseline Classification Results., and . CoRR, (2019)Categorical vs Dimensional Perception of Italian Emotional Speech., , , , and . INTERSPEECH, page 3638-3642. ISCA, (2018)Perception of Paralinguistic Traits in Synthesized Voices., , , , , and . Audio Mostly Conference, page 17:1-17:5. ACM, (2017)Deep Scalogram Representations for Acoustic Scene Classification., , , , , , and . IEEE CAA J. Autom. Sinica, 5 (3): 662-669 (2018)Can Deep Generative Audio be Emotional? Towards an Approach for Personalised Emotional Audio Generation., , and . MMSP, page 1-5. IEEE, (2019)Synchronization in Interpersonal Speech., , , , , , , and . Front. Robotics and AI, (2019)The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech., , , , , and . INTERSPEECH, page 2863-2867. ISCA, (2018)