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ORCIDJoun Yeop Lee
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2020 – today
- 2024
[j3]Myeonghun Jeong
, Minchan Kim, Joun Yeop Lee, Nam Soo Kim:
Efficient Parallel Audio Generation Using Group Masked Language Modeling. IEEE Signal Process. Lett. 31: 979-983 (2024)- [c10]Jae-Sung Bae, Joun Yeop Lee, Ji-Hyun Lee, Seongkyu Mun, Taehwa Kang, Hoon-Young Cho, Chanwoo Kim:
Latent Filling: Latent Space Data Augmentation for Zero-Shot Speech Synthesis. ICASSP 2024: 11166-11170 - [c9]Heejin Choi, Jae-Sung Bae, Joun Yeop Lee, Seongkyu Mun, Jihwan Lee, Hoon-Young Cho, Chanwoo Kim:
Mels-Tts : Multi-Emotion Multi-Lingual Multi-Speaker Text-To-Speech System Via Disentangled Style Tokens. ICASSP 2024: 12682-12686 - [i7]Myeonghun Jeong, Minchan Kim, Joun Yeop Lee, Nam Soo Kim:
Efficient Parallel Audio Generation using Group Masked Language Modeling. CoRR abs/2401.01099 (2024) - [i6]Minchan Kim, Myeonghun Jeong, Byoung Jin Choi, Semin Kim, Joun Yeop Lee, Nam Soo Kim:
Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction. CoRR abs/2401.01498 (2024) - 2023
- [c8]Joun Yeop Lee, Jae-Sung Bae, Seongkyu Mun, Jihwan Lee, Ji-Hyun Lee, Hoon-Young Cho, Chanwoo Kim:
Hierarchical Timbre-Cadence Speaker Encoder for Zero-shot Speech Synthesis. INTERSPEECH 2023: 4334-4338 - 2022
- [j2]Byoung Jin Choi, Myeonghun Jeong, Joun Yeop Lee, Nam Soo Kim:
SNAC: Speaker-Normalized Affine Coupling Layer in Flow-Based Architecture for Zero-Shot Multi-Speaker Text-to-Speech. IEEE Signal Process. Lett. 29: 2502-2506 (2022) - [c7]Minchan Kim, Myeonghun Jeong, Byoung Jin Choi, Sunghwan Ahn, Joun Yeop Lee, Nam Soo Kim:
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus. INTERSPEECH 2022: 788-792 - [i5]Minchan Kim, Myeonghun Jeong, Byoung Jin Choi, Sunghwan Ahn, Joun Yeop Lee, Nam Soo Kim:
Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus. CoRR abs/2203.15447 (2022) - [i4]Jihwan Lee, Joun Yeop Lee, Heejin Choi, Seongkyu Mun, Sangjun Park, Chanwoo Kim:
Into-TTS : Intonation Template based Prosody Control System. CoRR abs/2204.01271 (2022) - [i3]Jihwan Lee, Jae-Sung Bae, Seongkyu Mun, Heejin Choi, Joun Yeop Lee, Hoon-Young Cho, Chanwoo Kim:
An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space. CoRR abs/2211.03078 (2022) - [i2]Byoung Jin Choi, Myeonghun Jeong, Joun Yeop Lee, Nam Soo Kim:
SNAC: Speaker-normalized affine coupling layer in flow-based architecture for zero-shot multi-speaker text-to-speech. CoRR abs/2211.16866 (2022) - 2020
- [j1]Joun Yeop Lee, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim:
Memory Attention: Robust Alignment Using Gating Mechanism for End-to-End Speech Synthesis. IEEE Signal Process. Lett. 27: 2004-2008 (2020) - [c6]Hyeong Rae Ihm, Joun Yeop Lee, Byoung Jin Choi, Sung Jun Cheon, Nam Soo Kim:
Reformer-TTS: Neural Speech Synthesis with Reformer Network. INTERSPEECH 2020: 2012-2016 - [c5]Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Joun Yeop Lee, Nam Soo Kim:
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds. NeurIPS 2020 - [i1]Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Joun Yeop Lee, Nam Soo Kim:
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds. CoRR abs/2006.04604 (2020)
2010 – 2019
- 2018
- [c4]Joun Yeop Lee, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim, Eunwoo Song:
Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis. INTERSPEECH 2018: 917-921 - 2015
- [c3]Doo Hwa Hong, Joun Yeop Lee, Nam Soo Kim:
Acoustic modeling and parameter generation using relevance vector machines for speech synthesis. EUSIPCO 2015: 345-349 - [c2]Doo Hwa Hong, Joun Yeop Lee, Se Young Jang, Nam Soo Kim:
Speaker adaptation using relevance vector regression for HMM-based expressive TTS. INTERSPEECH 2015: 1216-1220 - 2014
- [c1]Doo Hwa Hong, Shin Jae Kang, Joun Yeop Lee, Nam Soo Kim:
Speaker Adaptation Using Nonlinear Regression Techniques for HMM-Based Speech Synthesis. IIH-MSP 2014: 586-589
Coauthor Index
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last updated on 2024-08-08 19:17 CEST by the dblp team
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