Search Results - "Bak, Taejun"

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  1. 1

    SYNTHE-SEES: Face Based Text-to-Speech for Virtual Speaker by Park, Jae Hyun, Maeng, Joon-Gyu, Bak, TaeJun, Joo, Young-Sun

    “…Recent virtual voice generation researches have limitations in that they results in low-quality voice and generate inconsistent voice from the same speaker's…”
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    Conference Proceeding
  2. 2

    MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech by Bak, Taejun, Eom, Youngsik, Choi, SeungJae, Joo, Young-Sun

    Published 04-10-2024
    “…Text-to-speech (TTS) systems that scale up the amount of training data have achieved significant improvements in zero-shot speech synthesis. However, these…”
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    Journal Article
  3. 3

    Avocodo: Generative Adversarial Network for Artifact-free Vocoder by Bak, Taejun, Lee, Junmo, Bae, Hanbin, Yang, Jinhyeok, Bae, Jae-Sung, Joo, Young-Sun

    Published 27-06-2022
    “…Neural vocoders based on the generative adversarial neural network (GAN) have been widely used due to their fast inference speed and lightweight networks while…”
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    Journal Article
  4. 4

    GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis by Yang, Jinhyeok, Bae, Jae-Sung, Bak, Taejun, Kim, Youngik, Cho, Hoon-Young

    Published 29-06-2021
    “…Recent advances in neural multi-speaker text-to-speech (TTS) models have enabled the generation of reasonably good speech quality with a single model and made…”
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    Journal Article
  5. 5

    FastPitchFormant: Source-filter based Decomposed Modeling for Speech Synthesis by Bak, Taejun, Bae, Jae-Sung, Bae, Hanbin, Kim, Young-Ik, Cho, Hoon-Young

    Published 29-06-2021
    “…Methods for modeling and controlling prosody with acoustic features have been proposed for neural text-to-speech (TTS) models. Prosodic speech can be generated…”
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    Journal Article