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Jae-Min Kim

13 papers hereh-index 91.3k citations22 works total

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

author position
  • middle author4
  • last author9

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • eess.AS10
  • cs.CL2
  • cs.SD1
same name
  • Jae-Min Kim — 1 paper, h 13
  • Jae-min Kim — 1 paper, 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
20192024
most citedParallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

50 citations · 82 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.AS2020★ 5 cited

TTS-by-TTS: TTS-driven Data Augmentation for Fast and High-Quality Speech Synthesis

Min-Jae Hwang, Ryuichi Yamamoto, Eunwoo Song +1

In this paper, we propose a text-to-speech (TTS)-driven data augmentation method for improving the quality of a non-autoregressive (AR) TTS system. Recently proposed non-AR models,…

eess.AS2020★ 2 cited

Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators

Ryuichi Yamamoto, Eunwoo Song, Min-Jae Hwang +1

This paper proposes voicing-aware conditional discriminators for Parallel WaveGAN-based waveform synthesis systems. In this framework, we adopt a projection-based conditioning meth…

eess.AS2020

Neural text-to-speech with a modeling-by-generation excitation vocoder

Eunwoo Song, Min-Jae Hwang, Ryuichi Yamamoto +3

This paper proposes a modeling-by-generation (MbG) excitation vocoder for a neural text-to-speech (TTS) system. Recently proposed neural excitation vocoders can realize qualified w…

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