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Dail Kim

2 accepted papers

2025

Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation

NeurIPS 2025poster

Target sound extraction aims to isolate target sound sources from an input mixture using a target clue to identify the sounds of interest. To address the challenge posed by the wide variety of sounds, recent work has introduced privileged knowledge distillation (PKD), which utilizes privileged infor…

Cited by 0SourceScholar
2024

Improving Target Sound Extraction with Timestamp Knowledge Distillation

ICASSP 2024accepted

In this paper, we propose a timestamp knowledge distillation (TKD) method that adopts privileged knowledge distillation to enhance the performance of deep neural network (DNN)-based target sound extraction (TSE). While previous studies have mainly used n-hot vectors to indicate the type of target so…

Cited by 0SourceScholar