Convolutional Neural Networks to Facilitate the Continuous Recognition of Arabic Speech with Independent Speakers

Table 4

WER and accuracy results of Sphinx-4 recognizer.

MFCC features	Gaussian 2		Gaussian 4		Gaussian 8		Gaussian 16		Gaussian 32
	WER (%)	Acc. (%)	WER (%)	Acc. (%)	WER (%)	Acc. (%)	WER (%)	Acc. (%)	WER (%)	Acc. (%)
13 features	13.39	86.61	11.02	88.98	11.13	88.87	10.85	89.15	14.25	85.75
25 features	10.77	89.23	8.45	91.55	8.17	91.83	8.65	91.35	10.85	89.15
39 features	14.70	85.30	12.78	87.22	10.91	89.09	10.77	89.23	13.86	86.14
52 features	23.60	76.56	20.81	79.19	18.41	81.59	18.33	81.67	32.01	76.99

The bold values indicate the best results of Sphinx-4 recognizer from WER and accuracy.