Table 3. Accuracy according to cloud-based speech recognition open application programming interface.
Characteristics | Total words | Naver | Amazon | Naver vs. Google | Naver vs. Amazon | Google vs. Amazon | ||
---|---|---|---|---|---|---|---|---|
Total | 7,319 | 5,493 (75.1) | 3,726 (50.9) | 4,237 (57.9) | < 0.001 | < 0.001 | < 0.001 | |
Class | ||||||||
Department | 276 | 145 (52.5) | 141 (51.1) | 128 (46.4) | 0.320 | 0.140 | 0.630 | |
Symptom, disease | 1,343 | 1,060 (78.9) | 718 (53.5) | 869 (64.7) | < 0.001 | 0.005 | 0.008 | |
Organ, location | 1,935 | 1,627 (84.1) | 1,104 (57.1) | 1,410 (72.9) | < 0.001 | 0.003 | 0.700 | |
Test | 1,160 | 799 (68.9) | 601 (51.8) | 587 (50.6) | 0.140 | 0.190 | 0.930 | |
Treatment | 1,251 | 944 (75.5) | 522 (41.7) | 605 (48.4) | 0.110 | 0.060 | 0.780 | |
Medication | 1,139 | 840 (73.7) | 569 (50.0) | 589 (51.7) | 0.330 | 0.330 | 0.980 | |
Specific name of a medication | 215 | 79 (36.7) | 71 (33.0) | 49 (22.8) | 0.005 | 0.760 | 0.010 | |
Word length | ||||||||
1 | 1,108 | 894 (80.7) | 542 (48.9) | 658 (59.4) | < 0.001 | 0.030 | 0.002 | |
2 | 3,695 | 3,049 (82.5) | 1,874 (50.7) | 2,387 (64.6) | < 0.001 | < 0.001 | < 0.001 | |
3 | 1,468 | 955 (65.1) | 749 (51.0) | 740 (50.4) | 0.290 | 0.100 | 0.540 | |
4 | 659 | 408 (61.9) | 337 (51.1) | 305 (46.3) | 0.900 | 0.080 | 0.090 | |
5 | 325 | 171 (52.6) | 183 (56.3) | 119 (36.6) | 0.430 | 0.110 | 0.010 | |
6 | 61 | 15 (24.6) | 39 (36.9) | 27 (44.3) | 0.250 | 0.670 | 0.460 | |
7 | 1 | 1 (100.0) | 1 (100.0) | 1 (100.0) | - | - | - | |
8 | 2 | 1 (50.0) | 1 (50.0) | 0 | - | - | - | |
Non-Korean terms | 459 | 269 (58.6) | 163 (35.5) | 142 (30.9) | 0.990 | 0.100 | 0.090 |
Data are presented as number (%).