Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms
Table 7
Overall best accuracies (%) for sustained vowels and running speech by using the AVPD.
Features
Experiments
SVM
GMM
VQ
HMM
/AH/
Al-Fateha
/AH/
Al-Fateha
/AH/
Al-Fateha
/AH/
Al-Fateha
MFCC
Detection
77.4
74.4
77.1
70.3
71.1
71.6
Classification
89.2
88.9
89.5
75.3
81.6
88.7
LPCC
Detection
60.1
76.5
54.5
70.3
75.9
71.5
Classification
67.6
84.7
75.4
77.9
59.0
RASTA-PLP
Detection
76.7
72.8
74.5
67.1
75.0
66.3
Classification
90.2
91.3
91.2
88.9
90.3
88.7
LPC
Detection
62.3
71.6
53.7
70.7
71.5
62.3
Classification
66.3
74.6
79.7
78.6
75.3
75.9
PLP
Detection
79.1
73.2
78.5
72.0
78.1
73.6
Classification
90.1
88.9
79.4
77.2
88.7
85.8
MDVP
Detection
—
69.8
—
64.8
—
—
—
Classification
—
—
—
—
—
—
—
best detection rate for sustained vowels. The best detection rate for running speech. The best classification rate for sustained vowels. The best classification rate for running speech.