Takuhiro Kaneko

According to our database, Takuhiro Kaneko authored at least 58 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka

CoRR, 2024

Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training.

Shogo Sato, Takuhiro Kaneko, Kazuhiko Murasaki, Taiga Yoshida, Ryuichi Tanida, Akisato Kimura

CoRR, 2024

2023

iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki

CoRR, 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

Frame-Level Event Representation Learning for Semantic-Level Generation and Editing of Avatar Motion.

Ayaka Ideno, Takuhiro Kaneko, Tatsuya Harada

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields.

Takuhiro Kaneko

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models.

Shogo Seki, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko

Proceedings of the IEEE International Conference on Acoustics, 2023

Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki

Proceedings of the IEEE International Conference on Acoustics, 2023

W2N-AVSC: Audiovisual Extension For Whisper-To-Normal Speech Conversion.

Shogo Seki, Kanami Imamura, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Noboru Harada

Proceedings of the 31st European Signal Processing Conference, 2023

Unsupervised Intrinsic Image Decomposition with LiDAR Intensity.

Shogo Sato, Yasuhiro Yao, Taiga Yoshida, Takuhiro Kaneko, Shingo Ando, Jun Shimamura

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications.

Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

MISRNet: Lightweight Neural Vocoder Using Multi-Input Single Shared Residual Blocks.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Shogo Seki

Proceedings of the Interspeech 2022, 2022

CAUSE: Crossmodal Action Unit Sequence Estimation from Speech.

Hirokazu Kameoka, Takuhiro Kaneko, Shogo Seki, Kou Tanaka

Proceedings of the Interspeech 2022, 2022

ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform.

Takuhiro Kaneko, Kou Tanaka, Hirokazu Kameoka, Shogo Seki

Proceedings of the IEEE International Conference on Acoustics, 2022

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields.

Takuhiro Kaneko

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Many-to-Many Voice Transformer Network.

Hirokazu Kameoka, Wen-Chin Huang, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Tomoki Toda

IEEE ACM Trans. Audio Speech Lang. Process., 2021

FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion.

Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko

CoRR, 2021

Maskcyclegan-VC: Learning Non-Parallel Voice Conversion with Filling in Frames.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo

Proceedings of the IEEE International Conference on Acoustics, 2021

Blur, Noise, and Compression Robust Generative Adversarial Networks.

Takuhiro Kaneko, Tatsuya Harada

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks.

Takuhiro Kaneko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

ConvS2S-VC: Fully Convolutional Sequence-to-Sequence Voice Conversion.

Hirokazu Kameoka, Kou Tanaka, Damian Kwasny, Takuhiro Kaneko, Nobukatsu Hojo

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks.

Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo

IEEE ACM Trans. Audio Speech Lang. Process., 2020

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics.

Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Shogo Seki

CoRR, 2020

CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo

Proceedings of the Interspeech 2020, 2020

Noise Robust Generative Adversarial Networks.

Takuhiro Kaneko, Tatsuya Harada

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder.

Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Label-Noise Robust Multi-Domain Image-to-Image Translation.

Takuhiro Kaneko, Tatsuya Harada

CoRR, 2019

Crossmodal Voice Conversion.

Hirokazu Kameoka, Kou Tanaka, Aaron Valero Puche, Yasunori Ohishi, Takuhiro Kaneko

CoRR, 2019

WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation.

Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo

CoRR, 2019

StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo

Proceedings of the Interspeech 2019, 2019

ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms.

Kou Tanaka, Hirokazu Kameoka, Takuhiro Kaneko, Nobukatsu Hojo

Proceedings of the IEEE International Conference on Acoustics, 2019

Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion.

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo

Proceedings of the IEEE International Conference on Acoustics, 2019

Label-Noise Robust Generative Adversarial Networks.

Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Class-Distinct and Class-Mutual Image Generation with GANs.

Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion.

Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo

CoRR, 2018

WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks.

Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka

CoRR, 2018

ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder.

Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo

CoRR, 2018

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks.

Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo

CoRR, 2018

Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms.

Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Hiroyasu Ando

CoRR, 2018

Synthetic-to-Natural Speech Waveform Conversion Using Cycle-Consistent Adversarial Networks.

Kou Tanaka, Takuhiro Kaneko, Nobukatsu Hojo, Hirokazu Kameoka

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks.

Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram.

Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Nobukatsu Hojo, Hiroyasu Ando

Proceedings of the 26th European Signal Processing Conference, 2018

CycleGAN-VC: Non-parallel Voice Conversion Using Cycle-Consistent Adversarial Networks.

Takuhiro Kaneko, Hirokazu Kameoka

Proceedings of the 26th European Signal Processing Conference, 2018

Automatic Speech Pronunciation Correction with Dynamic Frequency Warping-Based Spectral Conversion.

Nobukatsu Hojo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko

Proceedings of the 26th European Signal Processing Conference, 2018

Generative Adversarial Image Synthesis With Decision Tree Latent Controller.

Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks.

Takuhiro Kaneko, Hirokazu Kameoka

CoRR, 2017

Generative Adversarial Network-Based Postfilter for STFT Spectrograms.

Takuhiro Kaneko, Shinji Takaki, Hirokazu Kameoka, Junichi Yamagishi

Proceedings of the Interspeech 2017, 2017

Sequence-to-Sequence Voice Conversion with Similarity Metric Learned Using Generative Adversarial Networks.

Takuhiro Kaneko, Hirokazu Kameoka, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the Interspeech 2017, 2017

Generative adversarial network-based postfilter for statistical parametric speech synthesis.

Takuhiro Kaneko, Hirokazu Kameoka, Nobukatsu Hojo, Yusuke Ijima, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Generative Attribute Controller with Conditional Filtered Generative Adversarial Networks.

Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Non-native speech conversion with consistency-aware recursive network and generative adversarial network.

Keisuke Oyamada, Hirokazu Kameoka, Takuhiro Kaneko, Hiroyasu Ando, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

2016

Collective activity localization by spatiality preservation search.

Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato

Adv. Robotics, 2016

Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks.

Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2014

A fully connected model for consistent collective activity recognition in videos.

Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato

Pattern Recognit. Lett., 2014

Modeling risk anticipation and defensive driving on residential roads with inverse reinforcement learning.

Masamichi Shimosaka, Takuhiro Kaneko, Kentaro Nishi

Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2012

Consistent collective activity recognition with fully connected CRFs.

Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Collective Activity Localization with Contextual Spatial Pyramid.

Shigeyuki Odashima, Masamichi Shimosaka, Takuhiro Kaneko, Rui Fukui, Tomomasa Sato

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Viewpoint Invariant Collective Activity Recognition with Relative Action Context.

Takuhiro Kaneko, Masamichi Shimosaka, Shigeyuki Odashima, Rui Fukui, Tomomasa Sato

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012