Research Article
Data-Driven Decision-Support System for Speaker Identification Using E-Vector System
Table 6
Comparison of Avg. micro-F1and Std. Dev. micro-F1 SD of multiple-utterance identification.
| Micro-F1 | Different models | GMM | HMM | E-vector | MFCC | HDCC | E-vector | MFCC | HDCC |
| Avg. | ↑0.982 | 0.978 | 0.862 | ↑0.935 | 0.924 | 0.879 | Std. Dev. | ↓0.018 | 0.023 | 0.139 | ↓0.039 | ↓0.039 | 0.090 |
| | Different corpus databases | TIMIT | LibriSpeech | E-vector | MFCC | HDCC | E-vector | MFCC | HDCC |
| Avg. | ↑0.936 | 0.930 | 0.771 | ↑0.982 | 0.972 | 0.971 | Std. Dev. | ↓0.035 | 0.037 | 0.071 | ↓0.025 | 0.034 | 0.029 |
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