CPC H03M 1/60 (2013.01) [G06N 3/045 (2023.01); G06N 20/20 (2019.01)] | 10 Claims |
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.
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