Abstract: A method and apparatus for generating a speaker identification neural network include generating a first neural network that is trained to identify a first speaker with respect to a first voice signal in a first environment, generating a second neural network for identifying a second speaker with respect to a second voice signal in a second environment, and generating the speaker identification neural network by training the second neural network based on a teacher-student training model in which the first neural network is set to a teacher neural network and the second neural network is set to a student neural network.
Type:
Application
Filed:
November 25, 2019
Publication date:
October 1, 2020
Applicants:
SAMSUNG ELECTRONICS CO., LTD., SEOUL NATIONAL UNIVERSITY R&DB CORPORATION
Inventors:
Sungchan KANG, Namsoo Kim, Cheheung Kim, Seokwan Chae