Research Article
Feature Extraction Approach for Speaker Verification to Support Healthcare System Using Blockchain Security for Data Privacy
Table 3
Feature vector value for 50 speakers and its parameters (a–d)
(a) |
| | -0.836654 | 1.119128 | -0.949380 | 0.946176 | -0.008731 | | -0.846651 | 1.181489 | -0.929819 | 0.911423 | 0.110117 | | -0.961810 | 1.390200 | -1.052452 | 1.069067 | -0.045332 | | -0.795792 | 1.283035 | -1.010187 | 0.892773 | -0.047438 |
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|
(b) |
| | -0.607713 | 0.164727 | -0.584664 | -0.161334 | | -0.732032 | 0.258739 | -0.537848 | -0.110984 | | -0.748946 | 0.325589 | -0.532755 | 0.015159 | | -0.557250 | 0.247957 | -0.373091 | -0.029203 |
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(c) |
| | 0.256184 | 0.334360 | 0.162019 | -0.110454 | 0.276337 | | 0.074978 | 0.460313 | 0.044143 | -0.198783 | 0.314915 | | 0.081630 | 0.343054 | 0.008088 | -0.249718 | 0.358225 | | 0.037462 | 0.342918 | -0.066260 | -0.160299 | 0.235376 |
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|
(d) |
| | Parameters | Values |
| | Talkers | 0-9 | | Channel (single) | 5KHz | | Rate of sampling | 8 bit (used for low noise) | | Dialects | Text (Hindi) | | Each speaker repetition rate | 5 digits/minute |
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