Robust Example Search Using Bottleneck Features for Example-Based Speech Enhancement. - Atsunori Ogawa; Shogo Seki; Keisuke Kinoshita; Marc Delcroix; Takuya Yoshioka; Tomohiro Nakatani; Kazuya Takeda (INTERSPEECH, 2016)

Stereophonic music separation based on non-negative tensor factorization with cepstrum regularization. - Shogo Seki; Tomoki Toda; Kazuya Takeda (EUSIPCO, 2017)

Missing component restoration for masked speech signals based on time-domain spectrogram factorization. - Shogo Seki; Hirokazu Kameoka; Tomoki Toda; Kazuya Takeda (MLSP, 2017)

Sketch-based 3D hair posing by contour drawings. - Shogo Seki; Takeo Igarashi (Symposium on Computer Animation, 2017)

Self-Produced Speech Enhancement and Suppression Method using Air- and Body-Conductive Microphones. - Moe Takada; Shogo Seki; Tomoki Toda (APSIPA, 2018)

Stereophonic Music Separation Based on Non-Negative Tensor Factorization with Cepstral Distance Regularization. - Shogo Seki; Tomoki Toda; Kazuya Takeda (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation. - Shogo Seki; Hirokazu Kameoka; Li Li 063; Tomoki Toda; Kazuya Takeda (EUSIPCO, 2019)

Joint Separation and Dereverberation of Reverberant Mixtures with Multichannel Variational Autoencoder. - Shota Inoue; Hirokazu Kameoka; Li Li 063; Shogo Seki; Shoji Makino (ICASSP, 2019)

Underdetermined Source Separation Based on Generalized Multichannel Variational Autoencoder. - Shogo Seki; Hirokazu Kameoka; Li Li 063; Tomoki Toda; Kazuya Takeda (IEEE Access, 2019)

Semi-Supervised Enhancement and Suppression of Self-Produced Speech Using Correspondence between Air- and Body-Conducted Signals. - Moe Takada; Shogo Seki; Patrick Lumban Tobing; Tomoki Toda (EUSIPCO, 2020)

Intelligibility Enhancement Based on Speech Waveform Modification Using Hearing Impairment. - Shu Hikosaka; Shogo Seki; Tomoki Hayashi; Kazuhiro Kobayashi; Kazuya Takeda; Hideki Banno; Tomoki Toda (INTERSPEECH, 2020)

Semi-Supervised Self-Produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-Conducted Signals Using Variational Autoencoder. - Shogo Seki; Moe Takada; Tomoki Toda (INTERSPEECH, 2020)

A Study on Utilization of Prior Knowledge in Underdetermined Source Separation and Its Application. - Shogo Seki (2020)

Singing Fundamental Frequency Contour Generation Using Generalized Command-Response Model and Score-Conditional Variational Autoencoder. - Shogo Seki; Haruka Taga; Tomoki Toda (MLSP, 2021)

Attentionpit: Soft Permutation Invariant Training for Audio Source Separation with Attention Mechanism. - Hirokazu Kameoka; Shogo Seki; Li Li 063; Chihiro Watanabe (ICASSP, 2022)

ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform. - Takuhiro Kaneko; Kou Tanaka; Hirokazu Kameoka; Shogo Seki (ICASSP, 2022)

HBP: An Efficient Block Permutation Solver Using Hungarian Algorithm and Spectrogram Inpainting for Multichannel Audio Source Separation. - Li Li 063; Hirokazu Kameoka; Shogo Seki (ICASSP, 2022)

Investigation And Comparison of Optimization Methods for Variational Autoencoder-Based Underdetermined Multichannel Source Separation. - Shogo Seki; Hirokazu Kameoka; Li Li 063 (ICASSP, 2022)

CAUSE: Crossmodal Action Unit Sequence Estimation from Speech. - Hirokazu Kameoka; Takuhiro Kaneko; Shogo Seki; Kou Tanaka (INTERSPEECH, 2022)

MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (INTERSPEECH, 2022)

Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications. - Kou Tanaka; Hirokazu Kameoka; Takuhiro Kaneko; Shogo Seki (SLT, 2022)

W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion. - Shogo Seki; Kanami Imamura; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Noboru Harada (EUSIPCO, 2023)

Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (ICASSP, 2023)

JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models. - Shogo Seki; Hirokazu Kameoka; Kou Tanaka; Takuhiro Kaneko (ICASSP, 2023)

iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN. - Takuhiro Kaneko; Hirokazu Kameoka; Kou Tanaka; Shogo Seki (INTERSPEECH, 2023)

CFVC: Conditional Filtering for Controllable Voice Conversion. - Kou Tanaka; Takuhiro Kaneko; Hirokazu Kameoka; Shogo Seki (INTERSPEECH, 2023)

Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder. - Shogo Seki; Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka (IEEE Access, 2023)

Inference Efficient Source Separation Using Input-dependent Convolutions. - Shogo Seki; Li Li 063 (APSIPA, 2024)

Audio Spotforming Using Nonnegative Tensor Factorization with Attractor-Based Regularization. - Shoma Ayano; Li Li 063; Shogo Seki; Daichi Kitamura (EUSIPCO, 2024)

Remixed2remixed: Domain Adaptation for Speech Enhancement by Noise2noise Learning with Remixing. - Li Li 063; Shogo Seki (ICASSP, 2024)

Improved Remixing Process for Domain Adaptation-Based Speech Enhancement by Mitigating Data Imbalance in Signal-to-Noise Ratio. - Li Li 063; Shogo Seki (INTERSPEECH, 2024)

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion With Annealed Langevin Dynamics. - Hirokazu Kameoka; Takuhiro Kaneko; Kou Tanaka; Nobukatsu Hojo; Shogo Seki (IEEE ACM Trans. Audio Speech Lang. Process., 2024)