2 papers
eess.AS2024
Speech-Declipping Transformer with Complex Spectrogram and Learnerble Temporal Features
Younghoo Kwon, Jung-Woo Choi
We present a transformer-based speech-declipping model that effectively recovers clipped signals across a wide range of input signal-to-distortion ratios (SDRs). While recent time-…
cs.SD2023
Noisy-ArcMix: Additive Noisy Angular Margin Loss Combined With Mixup Anomalous Sound Detection
Soonhyeon Choi, Jung-Woo Choi
Unsupervised anomalous sound detection (ASD) aims to identify anomalous sounds by learning the features of normal operational sounds and sensing their deviations. Recent approaches…