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Sungwon Kim

9 papers hereh-index 112.5k citations14 works total

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

author position
  • first author2
  • middle author7

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.SD3
  • cs.CL1
  • cs.LG1
  • eess.AS1
same name
  • Sungwon Kim — 3 papers, h 7
  • Sungwon Kim — 3 papers
  • Sungwon Kim — 3 papers, h 4
  • Sungwon Kim — 2 papers
  • Sungwon Kim — 2 papers, h 9
  • Sungwon Kim — 1 paper, h 8

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 citedGuided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data

21 citations · 38 across the 6 of their papers we have counts for

collaborators
Showing cs.SDShow all

3 papers · 1 filter

cs.SD2024

VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech

Heeseung Kim, Sang-gil Lee, Jiheum Yeom +3

We propose VoiceTailor, a parameter-efficient speaker-adaptive text-to-speech (TTS) system, by equipping a pre-trained diffusion-based TTS model with a personalized adapter. VoiceT…

cs.SD2022★ 21 cited

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data

Sungwon Kim, Heeseung Kim, Sungroh Yoon

We propose Guided-TTS 2, a diffusion-based generative model for high-quality adaptive TTS using untranscribed data. Guided-TTS 2 combines a speaker-conditional diffusion model with…

cs.SD2018

FloWaveNet : A Generative Flow for Raw Audio

Sungwon Kim, Sang-gil Lee, Jongyoon Song +2

Most modern text-to-speech architectures use a WaveNet vocoder for synthesizing high-fidelity waveform audio, but there have been limitations, such as high inference time, in its p…

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