Patent ID: 11948554
Assignee: NEC CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A learning method, implemented by a computer, comprising:
storing, for each of a plurality of category hierarchies including a highest category hierarchy, predetermined parameters;
extracting, for the highest category hierarchy, an acoustic feature, using predetermined parameters corresponding to the highest category hierarchy, from an acoustic pattern obtained as a result of processing on an acoustic signal;
extracting, for each category hierarchy other than the highest category hierarchy, the acoustic feature, using the predetermined parameters corresponding to the category hierarchy, from the acoustic feature extracted from the category hierarchy that is one level higher;
calculating, for each category hierarchy, a language vector from a given label corresponding to the category hierarchy and that represents an attribute of a source of the acoustic signal and that is associated with the acoustic pattern;
calculating, for each category hierarchy, a similarity between the acoustic feature and the language vector; and
learning, for each category hierarchy, parameters so that the similarity becomes larger, and update the predetermined parameters to the parameters obtained by learning.