Acoustic Modeling Using Adversarially Trained Variational Recurrent Neural Network for Speech Synthesis. - Joun Yeop Lee; Sung Jun Cheon; Byoung Jin Choi; Nam Soo Kim; Eunwoo Song (INTERSPEECH, 2018)

Reformer-TTS: Neural Speech Synthesis with Reformer Network. - Hyeong Rae Ihm; Joun Yeop Lee; Byoung Jin Choi; Sung Jun Cheon; Nam Soo Kim (INTERSPEECH, 2020)

WaveNODE: A Continuous Normalizing Flow for Speech Synthesis. - Hyeongju Kim; Hyeon Seung Lee; Woo Hyun Kang; Sung Jun Cheon; Byoung Jin Choi; Nam Soo Kim (CoRR, 2020)

Convex feasibility problems on uniformly convex metric spaces. - Byoung Jin Choi; Un Cig Ji; Yongdo Lim (Optim. Methods Softw., 2020)

Memory Attention: Robust Alignment Using Gating Mechanism for End-to-End Speech Synthesis. - Joun Yeop Lee; Sung Jun Cheon; Byoung Jin Choi; Nam Soo Kim (IEEE Signal Process. Lett., 2020)

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech. - Myeonghun Jeong; Hyeongju Kim; Sung Jun Cheon; Byoung Jin Choi; Nam Soo Kim (Interspeech, 2021)

Expressive Text-to-Speech Using Style Tag. - Minchan Kim; Sung Jun Cheon; Byoung Jin Choi; Jong Jin Kim; Nam Soo Kim (Interspeech, 2021)

Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus. - Minchan Kim; Myeonghun Jeong; Byoung Jin Choi; Sunghwan Ahn; Joun Yeop Lee; Nam Soo Kim (INTERSPEECH, 2022)

Adversarial Speaker-Consistency Learning Using Untranscribed Speech Data for Zero-Shot Multi-Speaker Text-to-Speech. - Byoung Jin Choi; Myeonghun Jeong; Minchan Kim; Sung Hwan Mun; Nam Soo Kim (CoRR, 2022)

A Controllable Multi-Lingual Multi-Speaker Multi-Style Text-to-Speech Synthesis With Multivariate Information Minimization. - Sung Jun Cheon; Byoung Jin Choi; Minchan Kim; Hyeonseung Lee; Nam Soo Kim (IEEE Signal Process. Lett., 2022)

SNAC: Speaker-Normalized Affine Coupling Layer in Flow-Based Architecture for Zero-Shot Multi-Speaker Text-to-Speech. - Byoung Jin Choi; Myeonghun Jeong; Joun Yeop Lee; Nam Soo Kim (IEEE Signal Process. Lett., 2022)

Transduce and Speak: Neural Transducer for Text-To-Speech with Semantic Token Prediction. - Minchan Kim; Myeonghun Jeong; Byoung Jin Choi; Dongjune Lee; Nam Soo Kim (ASRU, 2023)

MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance. - Semin Kim; Myeonghun Jeong; Hyeonseung Lee; Minchan Kim; Byoung Jin Choi; Nam Soo Kim (INTERSPEECH, 2024)

Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction. - Minchan Kim; Myeonghun Jeong; Byoung Jin Choi; Semin Kim; Joun Yeop Lee; Nam Soo Kim (CoRR, 2024)

Variable-Length Speaker Conditioning in Flow-Based Text-to-Speech. - Byoung Jin Choi; Myeonghun Jeong; Minchan Kim; Nam Soo Kim (IEEE Signal Process. Lett., 2024)

Transfer Learning for Low-Resource, Multi-Lingual, and Zero-Shot Multi-Speaker Text-to-Speech. - Myeonghun Jeong; Minchan Kim; Byoung Jin Choi; Jaesam Yoon; Won Jang; Nam Soo Kim (IEEE ACM Trans. Audio Speech Lang. Process., 2024)