- Tytuł:
- Classification of cardiovascular diseases using dysphonia measurement in speech
- Autorzy:
-
Bourouhou, Abdelhamid
Jilbab, Abdelilah
Nacir, Chafik
Hammouch, Ahmed - Powiązania:
- https://bibliotekanauki.pl/articles/1840881.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
cardiovascular disease
speech analysis
dysphonia measurement
classification methods
PCA features selection
choroba układu krążenia
analiza mowy
dysfonia
pomiar
metody klasyfikacji
selekcja cech - Opis:
- Cardiovascular disease is the leading cause of death worldwide. The diagnosis is made by non-invasive methods, but it is far from being comfortable, rapid, and accessible to everyone. Speech analysis is an emerging non-invasive diagnostic tool, and a lot of researches have shown that it is efficient in speech recognition and in detecting Parkinson's disease, so can it be effective for differentiating between patients with cardiovascular disease and healthy people? This present work answers the question posed, by collecting a database of 75 people, 35 of whom suffering from cardiovascular diseases, and 40 are healthy. We took from each one three vocal recordings of sustained vowels (aaaaa…, ooooo… .. and iiiiiiii… ..). By measuring dysphonia in speech, we were able to extract 26 features, with which we will train three types of classifiers: the k-near-neighbor, the support vectors machine classifier, and the naive Bayes classifier. The methods were tested for accuracy and stability, and we obtained 81% accuracy as the best result using the k-near-neighbor classifier.
- Źródło:
-
Diagnostyka; 2021, 22, 1; 31-37
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł