| 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 | 128 | 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 | 100 | 2018 |
| An Investigation of DNN-Based Speech Synthesis Using Speaker Codes. N Hojo, Y Ijima, H Mizuno INTERSPEECH, 2278-2282, 2016 | 57 | 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 | 42 | 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 | 32 | 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 | 32 | 2017 |
| 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 | 25 | 2018 |
| 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 |
| 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 | 15 | 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, ... Proceedings of the 21st Workshop on the Semantics and Pragmatics of Dialogue …, 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 | 9 | 2016 |
| Model architectures to extrapolate emotional expressions in DNN-based text-to-speech K Inoue, S Hara, M Abe, N Hojo, Y Ijima Speech Communication 126, 35-43, 2021 | 8 | 2021 |
| Lightweight LPCNet-Based Neural Vocoder with Tensor Decomposition. H Kanagawa, Y Ijima INTERSPEECH, 205-209, 2020 | 6 | 2020 |
| 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 | 6 | 2017 |
| Sub-band text-to-speech combining sample-based spectrum with statistically generated spectrum T Inai, S Hara, M Abe, Y Ijima, N Miyazaki, H Mizuno Sixteenth Annual Conference of the International Speech Communication …, 2015 | 6 | 2015 |
| Word vectorization model learning device, word vectorization device, speech synthesis device, method thereof, and program Y Ijima, H Nobukatsu, T Asami US Patent App. 16/485,067, 2019 | 5 | 2019 |
| 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 | 5 | 2019 |
| 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 |
Ryo MasumuraDistinguished Research Scientist, NTT Computer and Data Science Laboratories, NTT Corporation確認したメール アドレス: lab.ntt.co.jp
