Patrick Lumban Tobing
Orcid: 0000-0003-2792-8418
According to our database1,
Patrick Lumban Tobing
authored at least 32 papers
between 2014 and 2022.
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Bibliography
2022
A Cyclical Approach to Synthetic and Natural Speech Mismatch Refinement of Neural Post-filter for Low-cost Text-to-speech System.
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Quasi-Periodic WaveNet: An Autoregressive Raw Waveform Generative Model With Pitch-Dependent Dilated Convolution Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Low-Latency Real-Time Non-Parallel Voice Conversion based on Cyclic Variational Autoencoder and Multiband WaveRNN with Data-Driven Linear Prediction.
CoRR, 2021
High-Fidelity and Low-Latency Universal Neural Vocoder Based on Multiband WaveRNN with Data-Driven Linear Prediction for Discrete Waveform Modeling.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Crank: An Open-Source Software for Nonparallel Voice Conversion Based on Vector-Quantized Variational Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
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
Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN.
CoRR, 2020
Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression.
IEEE Access, 2020
A Cyclical Post-Filtering Approach to Mismatch Refinement of Neural Vocoder for Text-to-Speech Systems.
Proceedings of the Interspeech 2020, 2020
Cyclic Spectral Modeling for Unsupervised Unit Discovery into Voice Conversion with Excitation and Waveform Modeling.
Proceedings of the Interspeech 2020, 2020
Efficient Shallow Wavenet Vocoder Using Multiple Samples Output Based on Laplacian Distribution and Linear Prediction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Semi-Supervised Enhancement and Suppression of Self-Produced Speech Using Correspondence between Air- and Body-Conducted Signals.
Proceedings of the 28th European Signal Processing Conference, 2020
Cross-Lingual Voice Conversion using a Cyclic Variational Auto-encoder and a WaveNet Vocoder.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020
2019
Voice Conversion With CycleRNN-Based Spectral Mapping and Finely Tuned WaveNet Vocoder.
IEEE Access, 2019
Quasi-Periodic WaveNet Vocoder: A Pitch Dependent Dilated Convolution Model for Parametric Speech Generation.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion.
Proceedings of the Interspeech 2019, 2019
Voice Conversion with Cyclic Recurrent Neural Network and Fine-tuned Wavenet Vocoder.
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018
Proceedings of the Interspeech 2018, 2018
2017
Articulatory Controllable Speech Modification Based on Statistical Inversion and Production Mappings.
IEEE ACM Trans. Audio Speech Lang. Process., 2017
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
2016
Acoustic-to-Articulatory Inversion Mapping Based on Latent Trajectory Gaussian Mixture Model.
Proceedings of the Interspeech 2016, 2016
2015
Articulatory controllable speech modification based on Gaussian mixture models with direct waveform modification using spectrum differential.
Proceedings of the INTERSPEECH 2015, 2015
2014
Articulatory controllable speech modification based on statistical feature mapping with Gaussian mixture models.
Proceedings of the INTERSPEECH 2014, 2014