[Retracted] Modeling and Simulation of English Speech Optimization Teaching Recognition Based on Intelligent Edge Detection Algorithm

Table 1

COSR results before and after FFSS feature set optimization.

Vocabulary	Characteristic parameters	0 dB	5 dB	10 dB	15 dB	20 dB	Average recognition rate
10 words	FFPSS_D	80.95	86.19	90.48	90.95	90.00	87.71
	PCA-features1	88.10	89.52	90.48	92.38	92.38	90.57
	FFPSS_D + TEOCC	82.38	90.48	93.81	93.81	94.29	90.95
	PCA-features2	90.00	90.95	94.29	94.29	94.29	92.76
20 words	FFPSS_D	74.86	80.30	82.71	86.03	87.34	82.25
	PCA-features1	78.81	81.67	87.38	88.81	91.67	85.67
	FFPSS_D + TEOCC	79.52	83.83	86.80	89.01.	90.50	85.93
	PCA-features2	81.43	85.24	88.57	90.48	92.38	87.62