Search Results for author: Jiho Chang

Found 1 papers, 0 papers with code

ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection

no code implementations ICASSP 2022 Taesoo Kim, Jiho Chang, Jong Hwan Ko

In this paper, we propose adversarial domain adaptive VAD (ADA-VAD), which is a deep neural network (DNN) based VAD method highly robust to audio samples with various noise types and low SNRs.

Ranked #4 on Activity Detection on AVA-Speech (ROC-AUC metric)

Action Detection Activity Detection +1

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