Patrick Lumban Tobing

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 48

Top Topics

Feature Mapping

Gaussian Mixture

Top Venues

Publications

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)
Jakub Swiatkowski, Duo Wang, Mikolaj Babianski, Patrick Lumban Tobing, Ravichander Vipperla, Vincent Pollet
Cross-lingual Prosody Transfer for Expressive Machine Dubbing. INTERSPEECH (2023)
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)
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)
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 (2022)
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)
Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda
Direct Noisy Speech Modeling for Noisy-to-Noisy Voice Conversion. CoRR (2021)
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 (2021)
Chao Xie, Yi-Chiao Wu, Patrick Lumban Tobing, Wen-Chin Huang, Tomoki Toda
Noisy-to-Noisy Voice Conversion Framework with Denoising Model. CoRR (2021)
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)
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 (2021)
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)
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)
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 (2021)
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 (2021)
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 (2020)
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)
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)
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 (2020)
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)
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 (2020)
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Toda
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN. CoRR (2020)
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 (2020)
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 (2020)
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)
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)
Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
Statistical Voice Conversion with Quasi-periodic WaveNet Vocoder. SSW (2019)
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 (2019)
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)
Patrick Lumban Tobing, Tomoki Hayashi, Tomoki Toda
Investigation of Shallow Wavenet Vocoder with Laplacian Distribution Output. ASRU (2019)
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)
Yi-Chiao Wu, Patrick Lumban Tobing, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
Statistical Voice Conversion with Quasi-Periodic WaveNet Vocoder. CoRR (2019)
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)
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)
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder. CoRR (2019)
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 (2019)
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)
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 (2019)
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
Non-Parallel Voice Conversion with Cyclic Variational Autoencoder. INTERSPEECH (2019)
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)
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)
Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Hayashi, Patrick Lumban Tobing, Tomoki Toda
Collapsed speech segment detection and suppression for WaveNet vocoder. CoRR (2018)
Yi-Chiao Wu, Kazuhiro Kobayashi, Tomoki Hayashi, Patrick Lumban Tobing, Tomoki Toda
Collapsed Speech Segment Detection and Suppression for WaveNet Vocoder. INTERSPEECH (2018)
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 (2018)
Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda
NU Voice Conversion System for the Voice Conversion Challenge 2018. Odyssey (2018)
Patrick Lumban Tobing, Hirokazu Kameoka, Tomoki Toda
Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling. APSIPA (2017)
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) (2017)
Patrick Lumban Tobing, Tomoki Toda, Hirokazu Kameoka, Satoshi Nakamura
Acoustic-to-Articulatory Inversion Mapping Based on Latent Trajectory Gaussian Mixture Model. INTERSPEECH (2016)
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)
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)