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Donghyeon Kim

15 papers hereh-index 148.4k citations34 works total

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

author position
  • first author5
  • middle author9

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.CL4
  • eess.AS4
  • cs.DL1
  • cs.LG1
same name
  • Donghyeon Kim — 7 papers, h 2
  • Donghyeon Kim — 5 papers, h 2
  • Donghyeon Kim — 5 papers, h 6
  • Donghyeon Kim — 3 papers, h 3
  • Donghyeon Kim — 2 papers, h 2
  • Donghyeon Kim — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedBuilding a PubMed knowledge graph

9 citations · 19 across the 8 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2024

Gated Low-rank Adaptation for personalized Code-Switching Automatic Speech Recognition on the low-spec devices

Gwantae Kim, Bokyeung Lee, Donghyeon Kim +1

In recent times, there has been a growing interest in utilizing personalized large models on low-spec devices, such as mobile and CPU-only devices. However, utilizing a personalize…

eess.AS2022★ 6 cited

Discriminatory and orthogonal feature learning for noise robust keyword spotting

Donghyeon Kim, Kyungdeuk Ko, David K. Han +1

Keyword Spotting (KWS) is an essential component in a smart device for alerting the system when a user prompts it with a command. As these devices are typically constrained by comp…

eess.AS2022

Efficient dynamic filter for robust and low computational feature extraction

Donghyeon Kim, Gwantae Kim, Bokyeung Lee +3

Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated…

eess.AS2021

A Lightweight dynamic filter for keyword spotting

Donghyeon Kim, Kyungdeuk Ko, Jeonggi Kwak +2

Keyword Spotting (KWS) from speech signals is widely applied to perform fully hands-free speech recognition. The KWS network is designed as a small-footprint model so it can contin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.