US 12,015,421 B2
Training and learning model for recognizing acoustic signal
Young Ho Jeong, Daejeon (KR); Soo Young Park, Daejeon (KR); and Tae Jin Lee, Daejeon (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed on Sep. 24, 2021, as Appl. No. 17/484,284.
Claims priority of application No. 10-2021-0000904 (KR), filed on Jan. 5, 2021.
Prior Publication US 2022/0216881 A1, Jul. 7, 2022
Int. Cl. H03M 1/60 (2006.01); G06N 3/045 (2023.01); G06N 20/20 (2019.01)
CPC H03M 1/60 (2013.01) [G06N 3/045 (2023.01); G06N 20/20 (2019.01)] 10 Claims
OG exemplary drawing
 
1. A method of recognizing an acoustic signal using a learning model, the method comprising:
identifying an acoustic signal comprising 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,
wherein the dividing comprises dividing the acoustic feature into frequency band intervals of different lengths based on a frequency axis of the acoustic feature.