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Kyogu Lee

11 papers hereh-index 219 citations15 works total

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

author position
  • last author11

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.SD7
  • eess.AS3
  • cs.IR1
same name
  • Kyogu Lee — 28 papers, h 32
  • Kyogu Lee — 21 papers, h 12
  • Kyogu Lee — 12 papers, h 4
  • Kyogu Lee — 6 papers, h 2
  • Kyogu Lee — 4 papers, h 3
  • Kyogu Lee — 3 papers, h 2

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
20242026
most citedDistance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation

2 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SD2024

Hear Your Face: Face-based voice conversion with F0 estimation

Jaejun Lee, Yoori Oh, Injune Hwang +1

This paper delves into the emerging field of face-based voice conversion, leveraging the unique relationship between an individual's facial features and their vocal characteristics…

cs.IR2024★ 2 cited

Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation

Yoori Oh, Yoseob Han, Kyogu Lee

There has been growing interest in audio-language retrieval research, where the objective is to establish the correlation between audio and text modalities. However, most audio-tex…

cs.SD2024

Removing Speaker Information from Speech Representation using Variable-Length Soft Pooling

Injune Hwang, Kyogu Lee

Recently, there have been efforts to encode the linguistic information of speech using a self-supervised framework for speech synthesis. However, predicting representations from su…

eess.AS2024

Learning Semantic Information from Raw Audio Signal Using Both Contextual and Phonetic Representations

Jaeyeon Kim, Injune Hwang, Kyogu Lee

We propose a framework to learn semantics from raw audio signals using two types of representations, encoding contextual and phonetic information respectively. Specifically, we int…

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