Papers - TODA Tomoki
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A spoofing benchmark for the 2018 voice conversion challenge: leveraging from spoofing countermeasures for speech artifact assessment Reviewed International coauthorship
T. Kinnunen, J. Lorenzo-Trueba, J. Yamagishi, T. Toda, D. Saito, F. Villavicencio, Z. Ling
Proc. Odyssey 2018 page： 187 - 194 2018.6
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NU voice conversion system for the voice conversion challenge 2018 Reviewed
P.L. Tobing, Y. Wu, T. Hayashi, K. Kobayashi, T. Toda
Proc. Odyssey 2018 page： 219 - 226 2018.6
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The NU non-parallel voice conversion system for the voice conversion challenge 2018 Reviewed
Y. Wu, P.L. Tobing, T. Hayashi, K. Kobayashi, T. Toda
Proc. Odyssey 2018 page： 211 - 218 2018.6
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sprocket: open-source voice conversion software Reviewed
K. Kobayashi, T. Toda
Proc. Odyssey 2018 page： 203 - 210 2018.6
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The voice conversion challenge 2018: promoting development of parallel and nonparallel methods Reviewed International coauthorship
J. Lorenzo-Trueba, J. Yamagishi, T. Toda, D. Saito, F. Villavicencio, T. Kinnunen, Z. Ling
Proc. Odyssey 2018 page： 195 - 202 2018.6
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Intra-gender statistical singing voice conversion with direct waveform modification using log-spectral differential Reviewed
K. Kobayashi, T. Toda, S. Nakamura
Speech Communication Vol. 99 page： 211 - 220 2018.5
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An investigation of subband WaveNet vocoder covering entire audible frequency range with limited acoustic features Reviewed
T. Okamoto, K. Tachibana, T. Toda, Y. Shiga, H. Kawai
Proc. IEEE ICASSP page： 5654 - 5658 2018.4
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Development of "KamiRepo" system with automatic student identification to handle handwritten assignments on LMS Reviewed
S. Seiya, R. Ito, K. Okamoto, U. Tanikawa, S. Ohira, D. Deguchi, T. Toda
Proc. IEEE EDUCON page： 841 - 848 2018.4
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An investigation of noise shaping with perceptual weighting for WaveNet-based speech generation Reviewed
K. Tachibana, T. Toda, Y. Shiga, H. Kawai
Proc. IEEE ICASSP page： 5664 - 5668 2018.4
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Deep neural network-based power spectrum reconstruction to improve quality of vocoded speech with limited acoustic parameters Reviewed
T. Okamoto, K. Tachibana, T. Toda, Y. Shiga, H. Kawai
Acoustical Science and Technology, Acoustical Letter Vol. 39 ( 2 ) page： 163 - 166 2018.3
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統計的声質変換ソフトウェア入門 Invited Reviewed
戸田 智基, 小林 和弘
システム/制御/情報 Vol. 62 ( 2 ) page： 69 - 75 2018.2
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Daily activity recognition with large-scaled real-life recording datasets based on deep neural network using multi-modal signals Reviewed
T. Hayashi, M. Nishida, N. Kitaoka, T. Toda, K. Takeda
IEICE Transactions on Fundamentals Vol. E101-A ( 1 ) page： 199 - 210 2018.1
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Electrolaryngeal speech modification towards singing aid system for laryngectomees Reviewed
K. Morikawa, T. Toda
Proc. APSIPA ASC page： 1 - 4 2017.12
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Articulatory controllable speech modification based on statistical inversion and production mappings Reviewed
P.L. Tobing, K. Kobayashi, T. Toda
IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 25 ( 12 ) page： 2337 - 2350 2017.12
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An investigation of multi-speaker training for WaveNet vocoder Reviewed
T. Hayashi, A. Tamamori, K. Kobayashi, K. Takeda, T. Toda
Proc. IEEE ASRU page： 712 - 718 2017.12
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Subband WaveNet with overlapped single-sideband filterbanks Reviewed
T. Okamoto, K. Tachibana, T. Toda, Y. Shiga, H. Kawai
Proc. IEEE ASRU page： 698 - 704 2017.12
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Accurate estimation of fo and aperiodicity based on periodicity detector residuals and deviations of phase derivatives Reviewed
H. Kawahara, K. Sakakibara, M. Morise, H. Banno, T. Toda
Proc. APSIPA ASC page： 1 - 9 2017.12
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An investigation of how to design control parameters for statistical voice timbre control Reviewed
K. Kubo, K. Kobayashi, T. Toda, G. Neubig, S. Sakti, S. Nakamura
Proc. APSIPA ASC page： 1 - 4 2017.12
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Investigation of effectiveness on recurrent neural network for daily activity recognition using multi-modal signals Invited Reviewed
A. Tamamori, T. Hayashi, T. Toda, K. Takeda
Proc. APSIPA ASC page： 1 - 7 2017.12
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Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling Reviewed
P.L. Tobing, H. Kameoka, T. Toda
Proc. APSIPA ASC page： 1 - 4 2017.12