TY - JOUR A1 - Schuster, Maria A1 - Arias-Vergara, Tomas A1 - Müller-Hörner, Rainer A1 - Winterholler, Cordula A1 - Bocklet, Tobias T1 - Verstehen mich mit der Maske noch alle? T1 - Speech quality changes due to face masks BT - Coronavirus-Pandemie JF - MMW - Fortschritte der Medizin N2 - In Arztpraxen nimmt der Infektionsschutz mittels Mund-Nasen-Maske momentan eine zentrale Rolle ein. Wenig nachgedacht wird dabei über die Folgen für die Kommunikation. Gerade schwerhörigen Patienten bereiten gedämpfte Stimmen und abgedeckte Lippen Probleme. KW - Face mask, speech quality, computer-assisted speech assessment, hearing loss Y1 - 2020 U6 - https://doi.org/10.1007/s15006-020-0749-4 VL - 162 IS - 14 SP - 42 EP - 44 ER - TY - CHAP A1 - Perez-Toro, Paula A. A1 - Bayerl, Sebastian P. A1 - Arias-Vergara, Tomas A1 - Vasquez-Correa, Juan Camillo A1 - Klumpp, Philipp A1 - Schuster, Maria A1 - Nöth, Elmar A1 - Orozco-Arroyave, Juan R. A1 - Riedhammer, Korbinian T1 - Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge N2 - Alzheimer’s Disease (AD) results from the progressive loss of neurons in the hippocampus, which affects the capability to produce coherent language. It affects lexical, grammatical, and semantic processes as well as speech fluency. This paper considers the analyses of speech and language for the assessment of AD in the context of the Alzheimer’s Dementia Recognition through Spontaneous Speech (ADReSSo) 2021 challenge. We propose to extract acoustic features such as X-vectors, prosody, and emotional embeddings as well as linguistic features such as perplexity, and word-embeddings. The data consist of speech recordings from AD patients and healthy controls. The transcriptions are obtained using a commercial automatic speech recognition system. We outperform baseline results on the test set, both for the classification and the Mini-Mental State Examination (MMSE) prediction. We achieved a classification accuracy of 80% and an RMSE of 4.56 in the regression. Additionally, we found strong evidence for the influence of the interviewer on classification results. In cross-validation on the training set, we get classification results of 85% accuracy using the combined speech of the interviewer and the participant. Using interviewer speech only we still get an accuracy of 78%. Thus, we provide strong evidence for interviewer influence on classification results. Y1 - 2021 U6 - https://doi.org/10.21437/Interspeech.2021-1589 SN - 2958-1796 SP - 3785 EP - 3789 ER - TY - JOUR A1 - Schuster, Maria A1 - Arias-Vergara, Tomás A1 - Müller-Hörner, Rainer A1 - Winterholler, Cordula A1 - Bocklet, Tobias T1 - "Verstehen mich mit der Maske eigentlich noch alle?" JF - Geriatrie-Report Y1 - 2020 U6 - https://doi.org/10.1007/s42090-020-0627-3 SN - 1862-5363 VL - 15 IS - 3 SP - 8 EP - 9 PB - Springer Science and Business Media LLC ER -