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The INTERSPEECH 2017 Computational Paralinguistics Challenge: Addressee, Cold & Snoring., , , , , , , , , and 12 other author(s). INTERSPEECH, page 3442-3446. ISCA, (2017)Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data., , , , , and . CoRR, (2019)Snoring - An Acoustic Definition., , , , and . EMBC, page 3653-3657. IEEE, (2019)Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review., , , , , , , and . IEEE J. Biomed. Health Informatics, 25 (4): 1233-1246 (2021)A Bag-of-Audio-Words Approach for Snore Sounds' Excitation Localisation., , , , , , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)Description of the Munich-Passau Snore Sound Corpus (MPSSC)., and . INTERSPEECH, ISCA, (2017)GPU-based fast signal processing for large amounts of snore sound data., , , , , and . GCCE, page 1-2. IEEE, (2016)Wavelet features for classification of vote snore sounds., , , , and . ICASSP, page 221-225. IEEE, (2016)Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data., , , , , and . IEEE J. Biomed. Health Informatics, 24 (1): 300-310 (2020)