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Seung-Bin Kim

12 papers hereh-index 7231 citations17 works total

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

author position
  • first author1
  • middle author11

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.SD8
  • cs.CL2
  • eess.AS1
  • stat.ML1
same name
  • Seung-bin Kim — 6 papers, h 7

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
20232026
most citedEmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

27 citations · 55 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.SD2024★ 12 cited

EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector

Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1

Emotional text-to-speech (TTS) technology has achieved significant progress in recent years; however, challenges remain owing to the inherent complexity of emotions and limitations…

cs.SD2024★ 27 cited

EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +2

Despite rapid advances in the field of emotional text-to-speech (TTS), recent studies primarily focus on mimicking the average style of a particular emotion. As a result, the abili…

cs.CL2024★ 3 cited

TranSentence: Speech-to-speech Translation via Language-agnostic Sentence-level Speech Encoding without Language-parallel Data

Seung-Bin Kim, Sang-Hoon Lee, Seong-Whan Lee

Although there has been significant advancement in the field of speech-to-speech translation, conventional models still require language-parallel speech data between the source and…

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