NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
CoRR(2024)
摘要
The advancement of Parkinson's Disease (PD) diagnosis through speech analysis
is hindered by a notable lack of publicly available, diverse language datasets,
limiting the reproducibility and further exploration of existing research.
In response to this gap, we introduce a comprehensive corpus from 108 native
Castilian Spanish speakers, comprising 55 healthy controls and 53 individuals
diagnosed with PD, all of whom were under pharmacological treatment and
recorded in their medication-optimized state. This unique dataset features a
wide array of speech tasks, including sustained phonation of the five Spanish
vowels, diadochokinetic tests, 16 listen-and-repeat utterances, and free
monologues. The dataset emphasizes accuracy and reliability through specialist
manual transcriptions of the listen-and-repeat tasks and utilizes Whisper for
automated monologue transcriptions, making it the most complete public corpus
of Parkinsonian speech, and the first in Castillian Spanish.
NeuroVoz is composed by 2,903 audio recordings averaging 26.88 ± 3.35
recordings per participant, offering a substantial resource for the scientific
exploration of PD's impact on speech. This dataset has already underpinned
several studies, achieving a benchmark accuracy of 89
identification, indicating marked speech alterations attributable to PD.
Despite these advances, the broader challenge of conducting a
language-agnostic, cross-corpora analysis of Parkinsonian speech patterns
remains an open area for future research. This contribution not only fills a
critical void in PD speech analysis resources but also sets a new standard for
the global research community in leveraging speech as a diagnostic tool for
neurodegenerative diseases.
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