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Weitere Publikationen von Autoren mit dem selben Namen

Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection., , , , , , und . INTERSPEECH, Seite 529-532. ISCA, (2011)Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , und . Speech Commun., (2022)Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions., , und . Multim. Tools Appl., 83 (2): 5473-5492 (Januar 2024)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , und . CoRR, (2023)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , und 6 andere Autor(en). Digit. Signal Process., (2018)Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions., , , und . Comput. Speech Lang., (April 2024)Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases., , , , , , , , und . IEEE J. Biomed. Health Informatics, 19 (6): 1820-1828 (2015)CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss., , , , , , , , und . INTERSPEECH, Seite 1959-1960. ISCA, (2022)Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions., , , , , und . INTERSPEECH, Seite 105-109. ISCA, (2015)Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition., , , , , und . INTERSPEECH, Seite 51-55. ISCA, (2022)