2 citations · 2 across the 3 of their papers we have counts for
4 papers
Measurement-Based Bitrate-Energy-Quality Analysis of Neural Audio Codec Decoders on Laptop and Phone Platforms
Seunghyeon Shin, Seokjin Lee
Neural audio codecs can achieve similar objective quality at lower bitrates than conventional codecs, but their decoder-side computational cost may offset this bitrate advantage on…
Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection
Seunghyeon Shin, Seokjin Lee
Anomalous sound detection (ASD) typically involves self-supervised proxy tasks to learn feature representations from normal sound data, owing to the scarcity of anomalous samples.…
Representational learning for an anomalous sound detection system with source separation model
Seunghyeon Shin, Seokjin Lee
The detection of anomalous sounds in machinery operation presents a significant challenge due to the difficulty in generalizing anomalous acoustic patterns. This task is typically…
Conditional variational autoencoder to improve neural audio synthesis for polyphonic music sound
Seokjin Lee, Minhan Kim, Seunghyeon Shin +3
Deep generative models for audio synthesis have recently been significantly improved. However, the task of modeling raw-waveforms remains a difficult problem, especially for audio…