公开(公告)号：US11657325B2

公开(公告)日：2023-05-23

申请号：US16927691

申请日：2020-07-13

Applicant: Electronics and Telecommunications Research Institute ,  Kyungpook National University Industry-Academic Cooperation Foundation

Inventor： Young Ho Jeong ,  Soo Young Park ,  Sang Won Suh ,  Woo-Taek Lim ,  Minhan Kim ,  Seokjin Lee

IPC: G06N20/00 ,  G06F17/18

CPC classification number: G06N20/00 ,  G06F17/18

Abstract: Disclosed is an apparatus and method for augmenting training data using a notch filter. The method may include obtaining original data, and obtaining training data having a modified frequency component from the original data by filtering the original data using a filter configured to remove a component of a predetermined frequency band.

公开(公告)号：US12020715B2

公开(公告)日：2024-06-25

申请号：US17672403

申请日：2022-02-15

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Young Ho Jeong ,  Soo Young Park ,  Tae Jin Lee

IPC: G06F17/00 ,  G06N3/08 ,  G10L19/018

CPC classification number: G10L19/018 ,  G06N3/08

Abstract: Disclosed is a method and apparatus for label encoding in a multi-sound event interval. The method includes identifying an event interval in which a plurality of sound events occurs in a sound signal, separating a sound source into sound event signals corresponding to each sound event by performing sound source separation on the event interval, determining energy information for each of the sound event signals, and performing label encoding based on the energy information.

公开(公告)号：US12015421B2

公开(公告)日：2024-06-18

申请号：US17484284

申请日：2021-09-24

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Young Ho Jeong ,  Soo Young Park ,  Tae Jin Lee

IPC: H03M1/60 ,  G06N3/045 ,  G06N20/20

CPC classification number: H03M1/60 ,  G06N3/045 ,  G06N20/20

Abstract: Disclosed are a training method for a learning model for recognizing an acoustic signal, a method of recognizing an acoustic signal using the learning model, and devices for performing the methods. The method of recognizing an acoustic signal using a learning model includes identifying an acoustic signal including an acoustic event or acoustic scene, determining an acoustic feature of the acoustic signal, dividing the determined acoustic feature for each of a plurality of frequency band intervals, and determining the acoustic event or acoustic scene included in the acoustic signal by inputting the divided acoustic features to a trained learning model.