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Papers
Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions
Interspeech 2024
It’s Time to Take Action: Acoustic Modeling of Motor Verbs to Detect Parkinson’s Disease
Interspeech 2024
An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients
Interspeech 2023
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages
Interspeech 2023
Application for Detecting Depression, Parkinson’s Disease and Dysphonic Speech
Interspeech 2021
Identifying robust markers of Parkinson’s disease in typing behaviour using a CNN-LSTM network
CoNLL 2020
Parkinson’s Disease Detection from Speech Using Single Frequency Filtering Cepstral Coefficients
Interspeech 2020
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease
Interspeech 2019
Comparison of Telephone Recordings and Professional Microphone Recordings for Early Detection of Parkinson’s Disease, Using Mel-Frequency Cepstral Coefficients with Gaussian Mixture Models
Interspeech 2019
Multimodal I-vectors to Detect and Evaluate Parkinson's Disease
Interspeech 2018
Automatic Detection of Parkinson’s Disease Based on Modulated Vowels
Interspeech 2016