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Since 2019
Citations
8
8
h-index
2
2
i10-index
0
0
0
6
3
2023
2024
5
3
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Ding Ma (馬 丁)
Nagoya University
Verified email at g.sp.m.is.nagoya-u.ac.jp
Voice Conversion
Text-to-speech
Speech Synthesis
Deep Learning
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Year
Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion
D Ma, LP Violeta, K Kobayashi, T Toda
2022 IEEE Spoken Language Technology Workshop (SLT), 949-954
, 2023
5
2023
Intermediate Fine-Tuning Using Imperfect Synthetic Speech for Improving Electrolaryngeal Speech Recognition
LP Violeta, D Ma, WC Huang, T Toda
arXiv preprint arXiv:2211.01079
, 2022
2
2022
Investigation of Text-to-Speech-based Synthetic Parallel Data for Sequence-to-Sequence Non-Parallel Voice Conversion
D Ma, WC Huang, T Toda
2021 Asia-Pacific Signal and Information Processing Association Annual …
, 2021
1
2021
Electrolaryngeal Speech Intelligibility Enhancement through Robust Linguistic Encoders
LP Violeta, WC Huang, D Ma, R Yamamoto, K Kobayashi, T Toda
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …
, 2024
2024
Sequence-to-sequence voice conversion training using synthetic parallel data for electrolaryngeal speech enhancement
D Ma, LP Violeta, K Kobayashi, T Toda
日本音響学会第148回(2022年秋季)研究発表会, 1161-1162
, 2022
2022
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