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Automatic Speech-Based Smoking Status Identification., , , , , , and . SAI (3), volume 508 of Lecture Notes in Networks and Systems, page 193-203. Springer, (2022)Self-Supervised Learning Based Phone-Fortified Speech Enhancement., , , , and . Interspeech, page 211-215. ISCA, (2021)CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition., , , , , and . INTERSPEECH, page 3859-3863. ISCA, (2022)Experimental evaluation of mobile phone sensors, , , and . Signals and Systems Conference (ISSC 2013), 24th IET Irish, page 1-8. (June 2013)Lessons learned from adapting "things" to IoT platforms in research and teaching., , and . SAC, page 1457-1460. ACM, (2018)Temporal context-aware motion-saliency detection., , , , and . J. Electronic Imaging, (2024)Towards the Objective Speech Assessment of Smoking Status based on Voice Features: A Review of the Literature., , , , , and . CoRR, (2021)PIAENet: Pyramid integration and attention enhanced network for object detection., , , , , and . Inf. Sci., (2024)Crowbarless Symmetrical Low-Voltage Ride Through Based on Flux Linkage Tracking For Brushless Doubly Fed Induction Generators., , , , , , and . IEEE Trans. Ind. Electron., 67 (9): 7606-7616 (2020)Adversarial multi-task learning with inverse mapping for speech enhancement., , , , , and . Appl. Soft Comput., (2022)