Patent Document ID: 8606580
Application ID: 12318494

Base Claim:
1. A data process unit comprising: an acoustic space storing unit for storing an acoustic space composed of a plurality of first pattern models, which are generated from first speech data of a plurality of speakers, and each of which has first 4-dimensional or higher dimensional feature data; a speech data acquiring unit for acquiring second speech data of a target speaker; a position calculating unit for: converting the second speech data acquired by the speech data acquiring unit into second 4-dimensional or higher dimensional feature data; generating a second pattern model to correspond to the second speech data based on the second 4-dimensional or higher dimensional feature data; calculating a mathematical distance between the second pattern model and the first pattern models based on the second 4-dimensional or higher dimensional feature data and the first 4-dimensional or higher dimensional feature data; and calculating a position of the second speech data in the acoustic space based on the mathematical distance; a positional relationship information display unit for displaying information representing a positional relationship between the second speech data and the first pattern models in the acoustic space, on a two-dimensional plane or in a three-dimensional space with a relationship of the mathematical distance being maintained, based on the position of the second speech data; a speech data evaluating unit for evaluating a value of the second speech data as a higher value, as the number of first pattern models existing within a predetermined distance from the position of the second speech data unit becomes smaller; and an evaluation result display unit for displaying an evaluation result evaluated by the speech data evaluating unit.

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Claim 10:
10. The data process unit according to claim 1 , wherein the second pattern model and the first pattern models each have the first 4-dimensional or higher dimensional feature, and the mathematical distance is calculated based on the second 4-dimensional or higher dimensional feature and the first 4-dimensional or higher dimensional feature, wherein the second pattern model and the first pattern models are generated by using Hidden Markov Models (HMM), and wherein the mathematical distance is calculated according to Euclidean distance determined based on a mean vector normalized by a product of standard deviations of normal distributions between the second pattern model and the first pattern models.