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Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.

, , , , , and . INTERSPEECH, page 2863-2867. ISCA, (2022)

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Height estimation from speech signals using i-vectors and least-squares support vector regression., , , and . TSP, page 1-5. IEEE, (2015)Dominant Distortion Classification for Pre-Processing of Vowels in Remote Biomedical Voice Analysis., , , and . INTERSPEECH, page 289-293. ISCA, (2017)Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring Using the Infinite Hidden Markov Model., , , , , and . ICASSP, page 805-809. IEEE, (2019)Automatic Smoker Detection from Telephone Speech Signals., , , , and . SPECOM, volume 10458 of Lecture Notes in Computer Science, page 200-210. Springer, (2017)A Parametric Approach for Classification of Distortions in Pathological Voices., , , and . ICASSP, page 286-290. IEEE, (2018)A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices., , , and . ICASSP, page 296-300. IEEE, (2018)Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering., , and . EUSIPCO, page 16-20. IEEE, (2018)Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection., , , , , and . INTERSPEECH, page 2863-2867. ISCA, (2022)Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection., , , , , , and . CoRR, (2019)Incorporating uncertainty as a Quality Measure in I-Vector Based Language Recognition., , , and . Odyssey, page 74-80. ISCA, (2016)