Research Article
Data-Driven Decision-Support System for Speaker Identification Using E-Vector System
Algorithm 1
E-vector system for speaker identification.
| Input: z (continuous speech signal); frame 20 ms; Step 10 ms; n = X | | Output: E-vector ; accuracy; micro-F1 | | (1) | Initialization: c (a)⟶IDCT cepstrum coefficient | | (2) | Data preprocessing: c (a) = data preprocessing (z) | | (3) | Cluster: Set S (S←), Name c (a)⟶ | | (4) | For each in A do | | (5) | | | (6) | Put all into S | | (7) | If | | (8) | | | (9) | If n = X | | (10) | break; | | (11) | else | | (12) | continue; | | (13) | end | | (14) | end | | (15) | end | | (16) | Learn models: put A into GMM, HMM ⟶ accuracy, micro-F1 |
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