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Mi Suk Lee

5 papers hereh-index 6163 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.AS3
  • cs.SD2

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedPsychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding

30 citations · 70 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.SD2019★ 1 cited

A Dual-Staged Context Aggregation Method Towards Efficient End-To-End Speech Enhancement

Kai Zhen, Mi Suk Lee, Minje Kim

In speech enhancement, an end-to-end deep neural network converts a noisy speech signal to a clean speech directly in time domain without time-frequency transformation or mask esti…

eess.AS2019★ 13 cited

Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding

Kai Zhen, Jongmo Sung, Mi Suk Lee +2

Speech codecs learn compact representations of speech signals to facilitate data transmission. Many recent deep neural network (DNN) based end-to-end speech codecs achieve low bitr…

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