Hieu-Thi Luong
Email: contact (at) hieuthi.com
CV: pdf (Last update: January 2020)
I have been a PhD candidate at Sokendai/National Institute of Informatics, Tokyo, Japan since 2017. My study mainly involves Speech Synthesis and Speech Recognition. I'm interested in Speech Processing, Machine Learning and Natural Language Processing in general.
I also do programming and drawing as hobbies. More below.
Blog posts [read more]
Selected publications
Latent linguistic embedding for cross-lingual text-to-speech and voice conversion
Hieu-Thi Luong, Junichi Yamagishi
VCC2020 Workshop
Deep learning based voice cloning framework for a unified system of text-to-speech and voice conversion (Ph.D. thesis)
Hieu-Thi Luong
Ph.D. thesis, 2020
...Digital edition is coming soon...
NAUTILUS: a Versatile Voice Cloning System
Hieu-Thi Luong, Junichi Yamagishi
arXiv manuscript
2020
Bootstrapping non-parallel voice conversion from speaker-adaptive text-to-speech
Hieu-Thi Luong, Junichi Yamagishi
ASRU 2019
A Unified Speaker Adaptation Method for Speech Synthesis using Transcribed and Untranscribed Speech with Backpropagation
Hieu-Thi Luong, Junichi Yamagishi
arXiv manuscript
Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora
Hieu-Thi Luong, Xin Wang, Junichi Yamagishi, Nobuyuki Nishizawa
Interspeech 2019
2019
Scaling and bias codes for modeling speaker-adaptive DNN-based speech synthesis systems
Hieu-Thi Luong, Junichi Yamagishi
SLT 2018
Multimodal Speech Synthesis Architecture for Unsupervised Speaker Adaptation
Hieu-Thi Luong, Junichi Yamagishi
Interspeech 2018
Investigating accuracy of pitch-accent annotations in neural network-based speech synthesis and denoising effects
Hieu-Thi Luong, Xin Wang, Junichi Yamagishi, Nobuyuki Nishizawa
Interspeech 2018
2018
Adapting and Controlling DNN-based Speech Synthesis using Input Codes
Hieu-Thi Luong, Shinji Takaki, Gustav Eje Henter, Junichi Yamagishi
ICASSP 2017
2017
A non-expert Kaldi recipe for Vietnamese Speech Recognition System
Hieu-Thi Luong, Hai-Quan Vu
WLSI-OIAF4HLT 2016
2016
Side projects
Vo
Vocaburglary
Utility extracts vocabulary from text for learning English. Present in printer-friendly format