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Young-Sun Joo
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2020 – today
- 2024
- [c13]Taejun Bak, Youngsik Eom, SeungJae Choi, Young-Sun Joo:
MultiVerse: Efficient and Expressive Zero-Shot Multi-Task Text-to-Speech. EMNLP (Findings) 2024: 9130-9147 - [c12]Jae Hyun Park, Joon-Gyu Maeng, Taejun Bak, Young-Sun Joo:
SYNTHE-SEES: Face Based Text-to-Speech for Virtual Speaker. ICASSP 2024: 10321-10325 - 2023
- [c11]Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, Young-Sun Joo:
Avocodo: Generative Adversarial Network for Artifact-Free Vocoder. AAAI 2023: 12562-12570 - 2022
- [c10]Hanbin Bae, Young-Sun Joo:
Enhancement of Pitch Controllability using Timbre-Preserving Pitch Augmentation in FastPitch. INTERSPEECH 2022: 6-10 - [c9]Jae-Sung Bae, Jinhyeok Yang, Taejun Bak, Young-Sun Joo:
Hierarchical and Multi-Scale Variational Autoencoder for Diverse and Natural Non-Autoregressive Text-to-Speech. INTERSPEECH 2022: 813-817 - [i5]Jae-Sung Bae, Jinhyeok Yang, Taejun Bak, Young-Sun Joo:
Hierarchical and Multi-Scale Variational Autoencoder for Diverse and Natural Non-Autoregressive Text-to-Speech. CoRR abs/2204.04004 (2022) - [i4]Hanbin Bae, Young-Sun Joo:
Enhancement of Pitch Controllability using Timbre-Preserving Pitch Augmentation in FastPitch. CoRR abs/2204.05753 (2022) - [i3]Taejun Bak, Junmo Lee, Hanbin Bae, Jinhyeok Yang, Jae-Sung Bae, Young-Sun Joo:
Avocodo: Generative Adversarial Network for Artifact-free Vocoder. CoRR abs/2206.13404 (2022) - 2021
- [c8]Hanbin Bae, Jae-Sung Bae, Young-Sun Joo, Young-Ik Kim, Hoon-Young Cho:
A Neural Text-to-Speech Model Utilizing Broadcast Data Mixed with Background Music. ICASSP 2021: 6603-6607 - [c7]Jae-Sung Bae, Taejun Bak, Young-Sun Joo, Hoon-Young Cho:
Hierarchical Context-Aware Transformers for Non-Autoregressive Text to Speech. Interspeech 2021: 3610-3614 - [i2]Hanbin Bae, Jae-Sung Bae, Young-Sun Joo, Young-Ik Kim, Hoon-Young Cho:
A Neural Text-to-Speech Model Utilizing Broadcast Data Mixed with Background Music. CoRR abs/2103.03049 (2021) - 2020
- [j2]Young-Sun Joo, Hanbin Bae, Young-Ik Kim, Hoon-Young Cho, Hong-Goo Kang:
Effective Emotion Transplantation in an End-to-End Text-to-Speech System. IEEE Access 8: 161713-161719 (2020) - [c6]Jae-Sung Bae, Hanbin Bae, Young-Sun Joo, Junmo Lee, Gyeong-Hoon Lee, Hoon-Young Cho:
Speaking Speed Control of End-to-End Speech Synthesis Using Sentence-Level Conditioning. INTERSPEECH 2020: 4402-4406 - [i1]Jae-Sung Bae, Hanbin Bae, Young-Sun Joo, Junmo Lee, Gyeong-Hoon Lee, Hoon-Young Cho:
Speaking Speed Control of End-to-End Speech Synthesis using Sentence-Level Conditioning. CoRR abs/2007.15281 (2020)
2010 – 2019
- 2019
- [c5]Hyeonjoo Kang, Young-Sun Joo, Inseon Jang, Chunghyun Ahn, Hong-Goo Kang:
A Study on Acoustic Parameter Selection Strategies to Improve Deep Learning-Based Speech Synthesis. APSIPA 2019: 618-622 - 2016
- [c4]Young-Sun Joo, Won-Suk Jun, Hong-Goo Kang:
Efficient deep neural networks for speech synthesis using bottleneck features. APSIPA 2016: 1-4 - [c3]Jin-Seob Kim, Young-Sun Joo, Hong-Goo Kang, Inseon Jang, Chunghyun Ahn, Jeongil Seo:
A pitch-synchronous speech analysis and synthesis method for DNN-SPSS system. DSP 2016: 408-411 - 2015
- [c2]Eunwoo Song, Young-Sun Joo, Hong-Goo Kang:
Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system. ICASSP 2015: 4949-4953 - 2013
- [c1]Young-Sun Joo, Chi-Sang Jung, Hong-Goo Kang:
Enhancement of spectral clarity for HMM-based text-to-speech systems. ICASSP 2013: 7840-7843 - 2012
- [j1]Chi-Sang Jung, Young-Sun Joo, Hong-Goo Kang:
Waveform Interpolation-Based Speech Analysis/Synthesis for HMM-Based TTS Systems. IEEE Signal Process. Lett. 19(12): 809-812 (2012)
Coauthor Index
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