Kou Tanaka
According to our database1,
Kou Tanaka
authored at least 48 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator.
CoRR, 2024
2023
CoRR, 2023
Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder.
IEEE Access, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Distilling Sequence-to-Sequence Voice Conversion Models for Streaming Conversion Applications.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
Proceedings of the Interspeech 2022, 2022
Proceedings of the Interspeech 2022, 2022
ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
IEEE ACM Trans. Audio Speech Lang. Process., 2021
CoRR, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics.
CoRR, 2020
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020
Proceedings of the Interspeech 2020, 2020
Phoneme Embeddings on Predicting Fundamental Frequency Pattern for Electrolaryngeal Speech.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2019
ACVAE-VC: Non-Parallel Voice Conversion With Auxiliary Classifier Variational Autoencoder.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
CoRR, 2019
Proceedings of the Interspeech 2019, 2019
ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
WaveCycleGAN: Synthetic-to-natural speech waveform conversion using cycle-consistent adversarial networks.
CoRR, 2018
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder.
CoRR, 2018
StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks.
CoRR, 2018
Generative adversarial network-based approach to signal reconstruction from magnitude spectrograms.
CoRR, 2018
Synthetic-to-Natural Speech Waveform Conversion Using Cycle-Consistent Adversarial Networks.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram.
Proceedings of the 26th European Signal Processing Conference, 2018
Automatic Speech Pronunciation Correction with Dynamic Frequency Warping-Based Spectral Conversion.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
A Vibration Control Method of an Electrolarynx Based on Statistical <i>F</i><sub>0</sub> Pattern Prediction.
IEICE Trans. Inf. Syst., 2017
Physically Constrained Statistical F<sub>0</sub> Prediction for Electrolaryngeal Speech Enhancement.
Proceedings of the Interspeech 2017, 2017
2016
Statistical F0 prediction for electrolaryngeal speech enhancement considering generative process of F0 contours within product of experts framework.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Real-time vibration control of an electrolarynx based on statistical F0 contour prediction.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Non-audible murmur enhancement based on statistical conversion using air- and body-conductive microphones in noisy environments.
Proceedings of the INTERSPEECH 2015, 2015
An Enhanced Electrolarynx with Automatic Fundamental Frequency Control based on Statistical Prediction.
Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, 2015
2014
A Hybrid Approach to Electrolaryngeal Speech Enhancement Based on Noise Reduction and Statistical Excitation Generation.
IEICE Trans. Inf. Syst., 2014
Direct F<sub>0</sub> control of an electrolarynx based on statistical excitation feature prediction and its evaluation through simulation.
Proceedings of the INTERSPEECH 2014, 2014
An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2014
An evaluation of target speech for a nonaudible murmur enhancement system in noisy environments.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014
An inter-speaker evaluation through simulation of electrolarynx control based on statistical F0 prediction.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014
2013
A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion.
Proceedings of the INTERSPEECH 2013, 2013