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Shogo Seki
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2020 – today
- 2024
- [j4]Hirokazu Kameoka
, Takuhiro Kaneko
, Kou Tanaka
, Nobukatsu Hojo, Shogo Seki
:
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2213-2226 (2024) - [c24]Li Li, Shogo Seki:
Remixed2remixed: Domain Adaptation for Speech Enhancement by Noise2noise Learning with Remixing. ICASSP 2024: 806-810 - [i8]Li Li, Shogo Seki:
Improved Remixing Process for Domain Adaptation-Based Speech Enhancement by Mitigating Data Imbalance in Signal-to-Noise Ratio. CoRR abs/2406.13982 (2024) - [i7]Shoma Ayano, Li Li, Shogo Seki, Daichi Kitamura:
Audio Spotforming Using Nonnegative Tensor Factorization with Attractor-Based Regularization. CoRR abs/2407.08951 (2024) - 2023
- [j3]Shogo Seki
, Hirokazu Kameoka
, Takuhiro Kaneko, Kou Tanaka:
Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder. IEEE Access 11: 44590-44599 (2023) - [c23]Shogo Seki, Kanami Imamura, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Noboru Harada
:
W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion. EUSIPCO 2023: 296-300 - [c22]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. ICASSP 2023: 1-5 - [c21]Shogo Seki, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko:
JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models. ICASSP 2023: 1-5 - [c20]Kou Tanaka, Takuhiro Kaneko, Hirokazu Kameoka, Shogo Seki:
CFVC: Conditional Filtering for Controllable Voice Conversion. INTERSPEECH 2023: 2058-2062 - [c19]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. INTERSPEECH 2023: 4369-4373 - [i6]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. CoRR abs/2303.13909 (2023) - [i5]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. CoRR abs/2308.07117 (2023) - [i4]Li Li, Shogo Seki:
Remixed2Remixed: Domain adaptation for speech enhancement by Noise2Noise learning with Remixing. CoRR abs/2312.16836 (2023) - 2022
- [c18]Shogo Seki, Hirokazu Kameoka, Li Li:
Investigation And Comparison of Optimization Methods for Variational Autoencoder-Based Underdetermined Multichannel Source Separation. ICASSP 2022: 511-515 - [c17]Li Li, Hirokazu Kameoka, Shogo Seki:
HBP: An Efficient Block Permutation Solver Using Hungarian Algorithm and Spectrogram Inpainting for Multichannel Audio Source Separation. ICASSP 2022: 516-520 - [c16]Hirokazu Kameoka, Shogo Seki, Li Li, Chihiro Watanabe:
Attentionpit: Soft Permutation Invariant Training for Audio Source Separation with Attention Mechanism. ICASSP 2022: 706-710 - [c15]Takuhiro Kaneko, Kou Tanaka, Hirokazu Kameoka, Shogo Seki:
ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. ICASSP 2022: 6207-6211 - [c14]Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki, Kou Tanaka:
CAUSE: Crossmodal Action Unit Sequence Estimation from Speech. INTERSPEECH 2022: 506-510 - [c13]Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki:
MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks. INTERSPEECH 2022: 1631-1635 - [c12]Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki:
Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications. SLT 2022: 1022-1028 - [i3]Takuhiro Kaneko, Kou Tanaka, Hirokazu Kameoka, Shogo Seki:
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. CoRR abs/2203.02395 (2022) - 2021
- [c11]Shogo Seki, Haruka Taga, Tomoki Toda:
Singing Fundamental Frequency Contour Generation Using Generalized Command-Response Model and Score-Conditional Variational Autoencoder. MLSP 2021: 1-3 - 2020
- [b1]Shogo Seki:
A Study on Utilization of Prior Knowledge in Underdetermined Source Separation and Its Application. Nagoya University, Japan, 2020 - [c10]Moe Takada, Shogo Seki, Patrick Lumban Tobing, Tomoki Toda:
Semi-Supervised Enhancement and Suppression of Self-Produced Speech Using Correspondence between Air- and Body-Conducted Signals. EUSIPCO 2020: 456-460 - [c9]Shogo Seki, Moe Takada, Tomoki Toda
:
Semi-Supervised Self-Produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-Conducted Signals Using Variational Autoencoder. INTERSPEECH 2020: 4039-4043 - [c8]Shu Hikosaka, Shogo Seki, Tomoki Hayashi, Kazuhiro Kobayashi, Kazuya Takeda, Hideki Banno, Tomoki Toda
:
Intelligibility Enhancement Based on Speech Waveform Modification Using Hearing Impairment. INTERSPEECH 2020: 4059-4063 - [i2]Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki:
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics. CoRR abs/2010.02977 (2020)
2010 – 2019
- 2019
- [j2]Shogo Seki
, Hirokazu Kameoka, Li Li, Tomoki Toda
, Kazuya Takeda:
Underdetermined Source Separation Based on Generalized Multichannel Variational Autoencoder. IEEE Access 7: 168104-168115 (2019) - [c7]Shogo Seki, Hirokazu Kameoka, Li Li, Tomoki Toda, Kazuya Takeda:
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation. EUSIPCO 2019: 1-5 - [c6]Shota Inoue, Hirokazu Kameoka, Li Li, Shogo Seki, Shoji Makino:
Joint Separation and Dereverberation of Reverberant Mixtures with Multichannel Variational Autoencoder. ICASSP 2019: 96-100 - 2018
- [j1]Shogo Seki, Tomoki Toda
, Kazuya Takeda:
Stereophonic Music Separation Based on Non-Negative Tensor Factorization with Cepstral Distance Regularization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(7): 1057-1064 (2018) - [c5]Moe Takada, Shogo Seki, Tomoki Toda
:
Self-Produced Speech Enhancement and Suppression Method using Air- and Body-Conductive Microphones. APSIPA 2018: 1240-1245 - [i1]Shogo Seki, Hirokazu Kameoka, Li Li, Tomoki Toda, Kazuya Takeda:
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation. CoRR abs/1810.00223 (2018) - 2017
- [c4]Shogo Seki, Tomoki Toda
, Kazuya Takeda:
Stereophonic music separation based on non-negative tensor factorization with cepstrum regularization. EUSIPCO 2017: 981-985 - [c3]Shogo Seki, Hirokazu Kameoka, Tomoki Toda
, Kazuya Takeda:
Missing component restoration for masked speech signals based on time-domain spectrogram factorization. MLSP 2017: 1-6 - [c2]Shogo Seki, Takeo Igarashi:
Sketch-based 3D hair posing by contour drawings. Symposium on Computer Animation 2017: 29:1-29:2 - 2016
- [c1]Atsunori Ogawa, Shogo Seki, Keisuke Kinoshita
, Marc Delcroix
, Takuya Yoshioka, Tomohiro Nakatani, Kazuya Takeda:
Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement. INTERSPEECH 2016: 3733-3737
Coauthor Index
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last updated on 2024-08-16 18:30 CEST by the dblp team
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