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Byeong Hyeon Kim

2 accepted papers

2023

End-to-End Neural Audio Coding in the MDCT Domain

ICASSP 2023accepted

Modern deep neural network (DNN)-based audio coding approaches utilize complicated non-linear functions (e.g., convolutional neural networks and non-linear activations), which leads to high complexity and memory usage. However, their decoded audio quality is still not much higher than that of signal…

Cited by 0SourceScholar
2023

Progressive Multi-Stage Neural Audio Codec with Psychoacoustic Loss and Discriminator

ICASSP 2023accepted

In this paper, we improve the efficiency of the progressive multi-stage neural audio codec (PR-Codec) by utilizing perceptually motivated training criteria. Although our baseline PR-Codec successfully reconstructs full-band signals by progressively decoding the pre-defined subband signals, transpare…

Cited by 0SourceScholar