Voice database used in the article Classification of ALS patients based on acoustic analysis of sustained vowel phonations
Vashkevich M., Rushkevich Yu. Classification of ALS patients based on acoustic analysis of sustained vowel phonations, Biomedical Signal Processing and Control, 2021, vol. 65., article 102350, pp. 1-14. https://doi.org/10.1016/j.bspc.2020.102350
Voice database was collected in Republican Research and Clinical Center of Neurology and Neurosurgery (Minsk, Belarus). It consists of 128 sustained vowel phonations (64 of vowel /a/ and 64 of vowel /i/) from 64 speakers, 31 of which were diagnosed with ALS. Each speaker was asked to produce sustained phonation of vowels /a/ and /i/ at a comfortable pitch and loudness as constant and long as possible. It can be seen that voice database is almost balanced and contains 48% of pathological voices and 52% of healthy voices.
The age of the 17 male patients ranges from 40 to 69 (mean 61.1 ± 7.7) and the age of the 14 female patients ranges from 39 to 70 (mean 57.3 ± 7.8). For the case of healthy controls (HC), the age of the 13 men ranges from 34 to 80 (mean 50.2 ± 13.8) and the age of the 20 females ranges from 37 to 68 (mean 56.1 ± 9.7). The samples were recorded at 44.1 kHz using different smartphones with a regular headsets and stored as 16 bit uncompressed PCM files. Average duration of the records in the HC group was 3.7 ± 1.5 s, and in ALS group 4.1 ± 2.0 s. The detailed information about ALS patients is presented in the article.
The Minsk2020_ALS_dataset.csv file contains the values of 131 voice features of vowels /a/ and /i/ that were used in the work Classification of ALS patients based on acoustic analysis of sustained vowel phonations.