Lee Hong Degerman Kang & Waimey
Training data generating method for training filled pause detecting model and device therefor
Disclosed is a method for generating training data for training a filled pause detecting model and a device therefor, which execute mounted artificial intelligence (AI) and/or machine learning algorithms in a 5G communication environment. The method includes acquiring acoustic data including first speech data including a filled pause, second speech data not including a filled pause, and noise, generating a plurality of noise data based on the acoustic data, and generating first training data including a plurality of filled pauses and second training data not including a plurality of filled pauses by synthesizing the plurality of noise data with the first speech data and the second speech data. According to the present disclosure, training data for training a filled pause detecting model in a simulation noise environment can be generated, and filled pause detection performance for speech data generated in an actual noise environment can be enhanced.
LG ELECTRONICS INC.
G G G G
G10L G10L G10L G10L
inventional inventional inventional additional
Jaehun Yun Jin
Choi Lee