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Abstract
This paper describes a new publicly-available database of VOiCe signals acquired in Amyotrophic Lateral Sclerosis (ALS) patients (VOC-ALS) and healthy controls performing different speech tasks. This dataset consists of 1224 voice signals recorded from 153 participants: 51 healthy controls (32 males and 19 females) and 102 ALS patients (65 males and 37 females) with different severity of dysarthria. Each subject’s voice was recorded using a smartphone application (Vox4Health) while performing several vocal tasks, including a sustained phonation of the vowels /a/, /e/, /i/, /o/, /u/ and /pa/, /ta/, /ka/ syllable repetition. Basic derived speech metrics such as harmonics-to-noise ratio, mean and standard deviation of fundamental frequency (F0), jitter and shimmer were calculated. The F0 standard deviation of vowels and syllables showed an excellent ability to identify people with ALS and to discriminate the different severity of dysarthria. These data represent the most comprehensive database of voice signals in ALS and form a solid basis for research on the recognition of voice impairment in ALS patients for use in clinical applications.
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Details
1 University of Naples “Federico II”, Department of Neurosciences, Reproductive Sciences and Odontostomatology, Naples, Italy (GRID:grid.4691.a) (ISNI:0000 0001 0790 385X)
2 Department of Psychology of the University of Campania “Luigi Vanvitelli”, Caserta, Italy (GRID:grid.9841.4) (ISNI:0000 0001 2200 8888)
3 Department of Mathematics and Physics of the University of Campania “Luigi Vanvitelli”, Caserta, Italy (GRID:grid.9841.4) (ISNI:0000 0001 2200 8888)
4 University of Naples “Federico II”, Department of Advanced Biomedical Sciences, Naples, Italy (GRID:grid.4691.a) (ISNI:0000 0001 0790 385X)
5 Pegaso University, Department of Information Sciences and Technologies, Naples, Italy (GRID:grid.460897.4)
6 Institute for High-Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), Naples, Italy (GRID:grid.503051.2) (ISNI:0000 0004 1790 0611)