| 摘要 |
PROBLEM TO BE SOLVED: To optimize the evaluation function itself which is used to evaluate for the optimization of rhythm parameters. SOLUTION: Employing a prescribed evaluation function, an evaluation section 251 successively compares and evaluates the rhythm parameter time series, which are successively generated while switching the rhythm parameter values that are applicable and generated using rhythm rules by a parameter generating section 23 from various learning text information and the rhythm parameter time series which are generated from corresponding natural voice data by a parameter analysis section 24. Based on the evaluation values, an optimum rhythm parameter value, which is used for the rhythm rules by a parameter generating rule learning section 26, is determined. Moreover, a learning section 26 outputs the corresponding synthesized voices based on the rhythm parameter time series, which are successively generated by the section 23, to an operator trial hearing evaluation. The evaluation function is corrected to the direction in which no inconsistency exists between the output and the evaluation result of the section 251 employing the evaluation function corresponding to the trial hearing evaluation result. |
