Session

Speech Processing, Anonymization and Machine Learning for Medical and Social Good

Day / Time: 09.03.2023, 09:40-11:00

Room: Saal Y8

Typ: Vortrag (strukturierte Sitzung)

Session leader

Sebastian Möller (TU Berlin, Quality and Usability Lab and DFKI Berlin)
Tim Polzehl (DFKI)
Ingo Siegert (OvG-Universität Magdeburg, Mobile Dialogsysteme)

Articles

Reinhold Haeb-Umbach, Frederik Rautenberg, Michael Kuhlmann, Janek Ebbers, Jana Wiechmann, Fritz Seebauer, Petra Wagner

Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics (en)

Carlos Franzreb, Tim Polzehl

Domain Adversarial Training for German Accented Speech Recognition (de)

Sebastian P. Bayerl, Korbinian Riedhammer, Ilja Baumann, Tobias Bocklet, Franziska Braun, Dominik Wagner

Medical Speech Processing for Diagnosis and Monitoring: Clinical Use Cases (en)

Karolin Krüger, Patricia Fuchs, Gerhard Schmidt

Parkinson’s Disease Speech Analysis – Machine Learning based Evaluation of Speech Impairment (en)

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