Electronics and Telecommunications Research Institute

Yonsei University

Joon Byun

Tae Jin Lee

Seung Kwon Beack

Jongmo Sung

Woo-taek Lim

Inseon Jang

Young Cheol Park

Byeongho Cho

Seungmin Shin

Provided is a method and apparatus for designing and testing an audio codec using quantization based on white noise modeling. A neural network-based audio encoder design method includes generating a quantized latent vector and a reconstructed signal corresponding to an input signal by using a white noise modeling-based quantization process, computing a total loss for training a neural network-based audio codec, based on the input signal, the reconstruction signal, and the quantized latent vector, training the neural network-based audio codec by using the total loss, and validating the trained neural network-based audio codec to select the best neural network-based audio codec.

Method and apparatus for designing and testing audio codec by using white noise modeling

Growing community of inventors

Wonju-si, South Korea

Joon Byun