Electronics and Telecommunications Research Institute

Kyungpook National University Industry-academic Cooperation Foundation

Minhan Kim

Young Ho Jeong

Soo Young Park

Seokjin Lee

Woo-taek Lim

Sang Won Suh

Seungjae Baek

Seung-Hyeon Shin

Disclosed are methods of training an acoustic scene classification model and classifying an acoustic scene and an electronic device for performing the methods. The training method of an acoustic scene classification model includes inputting training data labeled as an acoustic scene to the acoustic scene classification model that is repeatedly trained by using the training data and outputting a first result predicting the acoustic scene, updating the weight of the auxiliary model configured to induce training of the acoustic scene classification model, based on a weight of the acoustic scene classification model and a weight of an auxiliary model in a previous epoch, inputting the training data to the auxiliary model and outputting a second result, calculating a cost function, based on the first result, the second result, and labeling of acoustic data, and updating the weight of the acoustic scene classification model, based on the cost function.

Methods of training acoustic scene classification model and classifying acoustic scene and electronic device for performing the methods

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.

Apparatus and method for augmenting training data using notch filter

Growing community of inventors

Daegu, South Korea

Minhan Kim