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Assessment of Severe Apnoea through Voice Analysis, Automatic Speech, and Speaker Recognition Techniques., , , , , и . EURASIP J. Adv. Signal Process., (2009)Severe Apnoea Detection using Speaker Recognition Techniques., , , , , и . BIOSIGNALS, стр. 124-130. INSTICC Press, (2009)Analyzing Training Dependencies and Posterior Fusion in Discriminant Classification of Apnea Patients Based on Sustained and Connected Speech., , , , и . INTERSPEECH, стр. 3033-3036. ISCA, (2011)Using SCXML for Semantic Sensor Networks., , , и . SSN, том 668 из CEUR Workshop Proceedings, CEUR-WS.org, (2010)Using SCXML to Integrate Semantic Sensor Information into Context-aware User Interfaces., , , и . SSW, стр. 47-59. SciTePress, (2010)Improving speech interaction in vehicles using context-aware information through an SCXML framework., , , и . ESSV, том 58 из Studientexte zur Sprachkommunikation, стр. 243-250. TUDpress, Dresden, (2010)Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web., , , , , , и . Sensors, 12 (5): 6307-6330 (2012)Assessment of Nonlinearities for Precision DACs., , и . IEEE Trans. Instrumentation and Measurement, 66 (11): 2852-2857 (2017)Early Detection of Severe Apnoea through Voice Analysis and Automatic Speaker Recognition Techniques., , , , , и . BIOSTEC (Selected Papers), том 52 из Communications in Computer and Information Science, стр. 245-257. (2009)Analyzing GMMs to characterize resonance anomalies in speakers suffering from apnoea., , , , , и . INTERSPEECH, стр. 1459-1462. ISCA, (2009)