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2020 – today
- 2024
[c31]Guillermo Cámbara, Patrick Lumban Tobing, Mikolaj Babianski, Ravichander Vipperla, Duo Wang, Ron Shmelkin, Giuseppe Coccia, Orazio Angelini, Arnaud Joly, Mateusz Lajszczak, Vincent Pollet:
Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis. ICASSP 2024: 10691-10695- 2023
- [c30]Jakub Swiatkowski, Duo Wang, Mikolaj Babianski, Patrick Lumban Tobing, Ravichander Vipperla, Vincent Pollet:
Cross-lingual Prosody Transfer for Expressive Machine Dubbing. INTERSPEECH 2023: 4838-4842 - [c29]Jakub Swiatkowski, Duo Wang, Mikolaj Babianski, Giuseppe Coccia, Patrick Lumban Tobing, Ravichander Vipperla, Viacheslav Klimkov, Vincent Pollet:
Expressive Machine Dubbing Through Phrase-level Cross-lingual Prosody Transfer. INTERSPEECH 2023: 5546-5550 - 2022
- [c28]Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing
, Wen-Chin Huang, Tomoki Toda:
Direct Noisy Speech Modeling for Noisy-To-Noisy Voice Conversion. ICASSP 2022: 6787-6791 - [i17]Yi-Chiao Wu, Patrick Lumban Tobing, Kazuki Yasuhara, Noriyuki Matsunaga, Yamato Ohtani, Tomoki Toda:
A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System. CoRR abs/2207.05913 (2022) - 2021
- [j4]Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1134-1148 (2021) - [c27]Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda:
Noisy-to-Noisy Voice Conversion Framework with Denoising Model. APSIPA ASC 2021: 814-820 - [c26]Kazuhiro Kobayashi, Wen-Chin Huang, Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Tomoki Toda:
Crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder. ICASSP 2021: 5934-5938 - [c25]Patrick Lumban Tobing, Tomoki Toda:
High-Fidelity and Low-Latency Universal Neural Vocoder Based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling. Interspeech 2021: 2217-2221 - [c24]Patrick Lumban Tobing, Tomoki Toda:
Low-latency real-time non-parallel voice conversion based on cyclic variational autoencoder and multiband WaveRNN with data-driven linear prediction. SSW 2021: 142-147 - [i16]Kazuhiro Kobayashi, Wen-Chin Huang, Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Tomoki Toda:
crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder. CoRR abs/2103.02858 (2021) - [i15]Patrick Lumban Tobing, Tomoki Toda:
High-Fidelity and Low-Latency Universal Neural Vocoder based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling. CoRR abs/2105.09856 (2021) - [i14]Patrick Lumban Tobing, Tomoki Toda:
Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction. CoRR abs/2105.09858 (2021) - [i13]Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda:
Noisy-to-Noisy Voice Conversion Framework with Denoising Model. CoRR abs/2109.10608 (2021) - [i12]Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda:
Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion. CoRR abs/2111.07116 (2021) - 2020
- [j3]Yi-Chiao Wu, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Hayashi, Tomoki Toda:
Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression. IEEE Access 8: 62094-62106 (2020) - [c23]Hikaru Nakatani, Patrick Lumban Tobing, Kazuya Takeda, Tomoki Toda:
Cross-Lingual Voice Conversion using a Cyclic Variational Auto-encoder and a WaveNet Vocoder. APSIPA 2020: 520-526 - [c22]Wen-Chin Huang, Patrick Lumban Tobing, Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Toda:
The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders. Blizzard Challenge / Voice Conversion Challenge 2020 - [c21]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Toda:
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN. Blizzard Challenge / Voice Conversion Challenge 2020 - [c20]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 - [c19]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Efficient Shallow Wavenet Vocoder Using Multiple Samples Output Based on Laplacian Distribution and Linear Prediction. ICASSP 2020: 7204-7208 - [c18]Yi-Chiao Wu, Patrick Lumban Tobing, Kazuki Yasuhara, Noriyuki Matsunaga, Yamato Ohtani, Tomoki Toda:
A Cyclical Post-Filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-Speech Systems. INTERSPEECH 2020: 3540-3544 - [c17]Patrick Lumban Tobing, Tomoki Hayashi, Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Toda:
Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling. INTERSPEECH 2020: 4861-4865 - [i11]Yi-Chiao Wu, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Hayashi, Tomoki Toda:
Non-parallel Voice Conversion System with WaveNet Vocoder and Collapsed Speech Suppression. CoRR abs/2003.11750 (2020) - [i10]Yi-Chiao Wu, Patrick Lumban Tobing, Kazuki Yasuhara, Noriyuki Matsunaga, Yamato Ohtani, Tomoki Toda:
A Cyclical Post-filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-speech Systems. CoRR abs/2005.08659 (2020) - [i9]Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model with Pitch-dependent Dilated Convolution Neural Network. CoRR abs/2007.05663 (2020) - [i8]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Toda:
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN. CoRR abs/2010.04429 (2020) - [i7]Wen-Chin Huang, Patrick Lumban Tobing, Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Toda:
The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders. CoRR abs/2010.04446 (2020)
2010 – 2019
- 2019
- [j2]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder. IEEE Access 7: 171114-171125 (2019) - [c16]Patrick Lumban Tobing, Tomoki Hayashi, Tomoki Toda:
Investigation of Shallow Wavenet Vocoder with Laplacian Distribution Output. ASRU 2019: 176-183 - [c15]Wen-Chin Huang, Yi-Chiao Wu, Hsin-Te Hwang, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion. EUSIPCO 2019: 1-5 - [c14]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Voice Conversion with Cyclic Recurrent Neural Network and Fine-tuned Wavenet Vocoder. ICASSP 2019: 6815-6819 - [c13]Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation. INTERSPEECH 2019: 196-200 - [c12]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder. INTERSPEECH 2019: 674-678 - [c11]Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion. INTERSPEECH 2019: 709-713 - [c10]Wen-Chin Huang, Yi-Chiao Wu, Kazuhiro Kobayashi, Yu-Huai Peng, Hsin-Te Hwang, Patrick Lumban Tobing, Yu Tsao, Hsin-Min Wang, Tomoki Toda:
Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion. SSW 2019: 57-62 - [c9]Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Statistical Voice Conversion with Quasi-periodic WaveNet Vocoder. SSW 2019: 63-68 - [i6]Wen-Chin Huang, Yi-Chiao Wu, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion. CoRR abs/1905.00615 (2019) - [i5]Yi-Chiao Wu, Tomoki Hayashi, Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation. CoRR abs/1907.00797 (2019) - [i4]Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Statistical Voice Conversion with Quasi-Periodic WaveNet Vocoder. CoRR abs/1907.08940 (2019) - [i3]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder. CoRR abs/1907.10185 (2019) - 2018
- [c8]Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Hayashi, Patrick Lumban Tobing, Tomoki Toda:
Collapsed Speech Segment Detection and Suppression for WaveNet Vocoder. INTERSPEECH 2018: 1988-1992 - [c7]Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
The NU Non-Parallel Voice Conversion System for the Voice Conversion Challenge 2018. Odyssey 2018: 211-218 - [c6]Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda:
NU Voice Conversion System for the Voice Conversion Challenge 2018. Odyssey 2018: 219-226 - [c5]Patrick Lumban Tobing, Tomoki Hayashi, Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Toda:
An Evaluation of Deep Spectral Mappings and WaveNet Vocoder for Voice Conversion. SLT 2018: 297-303 - [i2]Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Hayashi, Patrick Lumban Tobing, Tomoki Toda:
Collapsed speech segment detection and suppression for WaveNet vocoder. CoRR abs/1804.11055 (2018) - [i1]Wen-Chin Huang, Yi-Chiao Wu, Hsin-Te Hwang, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda, Yu Tsao, Hsin-Min Wang:
Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion. CoRR abs/1811.11078 (2018) - 2017
- [j1]Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda:
Articulatory Controllable Speech Modification Based on Statistical Inversion and Production Mappings. IEEE ACM Trans. Audio Speech Lang. Process. 25(12): 2337-2350 (2017) - [c4]Patrick Lumban Tobing, Hirokazu Kameoka, Tomoki Toda:
Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling. APSIPA 2017: 1274-1277 - 2016
- [c3]Patrick Lumban Tobing, Tomoki Toda, Hirokazu Kameoka, Satoshi Nakamura:
Acoustic-to-Articulatory Inversion Mapping Based on Latent Trajectory Gaussian Mixture Model. INTERSPEECH 2016: 953-957 - 2015
- [c2]Patrick Lumban Tobing, Kazuhiro Kobayashi, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura:
Articulatory controllable speech modification based on Gaussian mixture models with direct waveform modification using spectrum differential. INTERSPEECH 2015: 3350-3354 - 2014
- [c1]Patrick Lumban Tobing, Tomoki Toda, Graham Neubig, Sakriani Sakti, Satoshi Nakamura, Ayu Purwarianti:
Articulatory controllable speech modification based on statistical feature mapping with Gaussian mixture models. INTERSPEECH 2014: 2298-2302
Coauthor Index
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last updated on 2024-09-20 00:43 CEST by the dblp team
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