| Generative adversarial network-based postfilter for statistical parametric speech synthesis T Kaneko, H Kameoka, N Hojo, Y Ijima, K Hiramatsu, K Kashino 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 113 | 2017 |
| Non-parallel voice conversion using variational autoencoders conditioned by phonetic posteriorgrams and d-vectors Y Saito, Y Ijima, K Nishida, S Takamichi 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 69 | 2018 |
| An Investigation of DNN-Based Speech Synthesis Using Speaker Codes. N Hojo, Y Ijima, H Mizuno INTERSPEECH, 2278-2282, 2016 | 48 | 2016 |
| DNN-based speech synthesis using speaker codes N Hojo, Y Ijima, H Mizuno IEICE TRANSACTIONS on Information and Systems 101 (2), 462-472, 2018 | 35 | 2018 |
| An investigation to transplant emotional expressions in DNN-based TTS synthesis K Inoue, S Hara, M Abe, N Hojo, Y Ijima 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 24 | 2017 |
| HMM-based emphatic speech synthesis using unsupervised context labeling Y Maeno, T Nose, T Kobayashi, Y Ijima, H Nakajima, H Mizuno, ... Twelfth Annual Conference of the International Speech Communication Association, 2011 | 22 | 2011 |
| Neural confnet classification: Fully neural network based spoken utterance classification using word confusion networks R Masumura, Y Ijima, T Asami, H Masataki, R Higashinaka 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 21 | 2018 |
| Soft-target training with ambiguous emotional utterances for dnn-based speech emotion classification A Ando, S Kobashikawa, H Kamiyama, R Masumura, Y Ijima, Y Aono 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 17 | 2018 |
| Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis Y Maeno, T Nose, T Kobayashi, T Koriyama, Y Ijima, H Nakajima, ... Speech Communication 57, 144-154, 2014 | 14 | 2014 |
| Emotional speech recognition based on style estimation and adaptation with multiple-regression HMM Y Ijima, M Tachibana, T Nose, T Kobayashi 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 14 | 2009 |
| Argumentative dialogue system based on argumentation structures R Higashinaka, K Sakai, H Sugiyama, H Narimatsu, T Arimoto, T Fukutomi, ... Proc. SemDial, 146-147, 2017 | 11 | 2017 |
| Objective Evaluation Using Association Between Dimensions Within Spectral Features for Statistical Parametric Speech Synthesis. Y Ijima, T Asami, H Mizuno INTERSPEECH, 337-341, 2016 | 6 | 2016 |
| Prosody Aware Word-Level Encoder Based on BLSTM-RNNs for DNN-Based Speech Synthesis. Y Ijima, N Hojo, R Masumura, T Asami INTERSPEECH, 764-768, 2017 | 5 | 2017 |
| HMM-based expressive speech synthesis based on phrase-level F0 context labeling Y Maeno, T Nose, T Kobayashi, T Koriyama, Y Ijima, H Nakajima, ... 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 5 | 2013 |
| 多様性豊かな音声合成技術 水野秀之， 中島秀治， 井島勇祐， 神山歩相名， 村上博子 NTT 技術ジャーナル 25 (3), 29-32, 2013 | 5 | 2013 |
| V2S attack: building DNN-based voice conversion from automatic speaker verification T Nakamura, Y Saito, S Takamichi, Y Ijima, H Saruwatari arXiv preprint arXiv:1908.01454, 2019 | 4 | 2019 |
| 多様な発話様式による HMM 音声合成のための韻律コンテキストの検討 前野悠 日本音響学会 2011 年春季研究発表会講演論文集, Mar., 385-386, 2011 | 4 | 2011 |
| Correlation analysis of acoustic features with perceptual voice quality similarity for similar speaker selection Y Ijima, M Isogai, H Mizuno Twelfth Annual Conference of the International Speech Communication Association, 2011 | 4 | 2011 |
| A rapid model adaptation technique for emotional speech recognition with style estimation based on multiple-regression HMM Y Ijima, T Nose, M Tachibana, T Kobayashi IEICE transactions on information and systems 93 (1), 107-115, 2010 | 4 | 2010 |
| IECEJ Technical Report J Nishizawa, H Abe, T Kurabayashi SSD-84–55 (in Japanese), 1984 | 4 | 1984 |
Takashi NoseTohoku University確認したメール アドレス: m.tohoku.ac.jp
