Author of the publication

Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing.

, , , , , , and . Speech Commun., (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

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