Idiopathic Parkinson’s disease is associated with motor speech impairments collectively referred to as hypokinetic dysarthria, which can appear at early disease stages and remain challenging to assess objectively in clinical practice. Most automatic assessment studies rely on individual speech corpora analyzed in isolation, leaving open questions regarding their comparability and their suitability for joint use within unified classification frameworks. This study explicitly investigates the cross-corpus comparability of existing Parkinsonian speech datasets designed for hypokinetic dysarthria assessment. Rather than assuming their compatibility, we evaluate it empirically through the generalization performance of classification systems trained on single or multiple corpora. We examine which datasets can be effectively combined and whether multi-corpus training improves robustness across heterogeneous recording conditions and speech tasks. Four corpora are evaluated under intra-corpus, cross-corpus, and out-of-domain settings. Results demonstrate that multi-corpus training enhances robustness and generalization performance, while also revealing substantial differences in cross-dataset compatibility. These findings provide a clearer understanding of the degree of comparability between existing resources and offer practical guidelines for the design of future corpora and more generalizable tools for the automatic clinical assessment of Parkinsonian speech.

Aerodynamic processes underlie the characteristics of the acoustic signal of speech sounds. The aerodynamics of speech give insights on acoustic outcome and help explain the mechanisms of speech production. This database was designed during an ARC project ”Dynamique des systèmes phonologiques” in which the study of aerodynamic constraints on speech production was an important target. Data were recorded between 1996 and 1999 at the Erasmus Hospital (Hôpital Erasme) of Université Libre de Bruxelles, Belgium and constitute one of the few datasets available on direct measurement of subglottal pressure and other aerodynamic parameters. The goal was to obtain a substantial amount of data with simultaneous recording, in various context, of the speech acoustic signal, subglottal pressure (Ps), intraoral pressure (Po), oral airflow (Qo) and nasal airflow (Qn). This database contains recordings of 2 English, 1 Amharic, and 7 French speakers and is provided with data conversion and visualisation tools. Another aim of this project was to obtain some reference values of the aerodynamics of speech production for female and male speakers uttering different types of segments and sentences in French.