| 摘要 |
<p>Different types of data including voice data of a user, image data produced by picturing the mouth of the user, and ambient noise data are provided through an input unit 10. Those data are analyzed by preprocessors 20 to 23 respectively to determine characteristic parameters. In a classification data constructing unit 24, classification data is constructed from the characteristic parameters and transferred to a classification unit 25 for classification. Meanwhile, an integrated parameter constructing unit 26 constructs integrated parameters from the characteristic parameters provided by the preprocessors 20 to 23. An adaptivity determining unit 27 selects a table corresponding to the class determined by the classification unit 25. From the standard parameters saved in the table and the integrated parameter from the integrated parameter constructing unit 26, the voice emitted by a user is recognized. Accordingly, the accuracy of the voice recognition will be increased. <IMAGE></p> |
