H. Zen

发表

WaveNet: A Generative Model for Raw Audio pdf

Heiga Zen, Alex Graves, Oriol Vinyals, 2016, SSW.

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

Heiga Zen, Erich Elsen, Alex Graves, 2017, ICML.

Product of Experts for Statistical Parametric Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Statistical parametric speech synthesis using deep neural networks

Heiga Zen, Andrew W. Senior, Mike Schuster, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Bayesian Context Clustering Using Cross Validation for Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2011, IEICE Trans. Inf. Syst..

Minimum generation error criterion considering global/local variance for HMM-based speech synthesis

H. Zen, K. Tokuda, Yoshihiko Nankaku, 2008 .

Directly modeling speech waveforms by neural networks for statistical parametric speech synthesis

Heiga Zen, Keiichi Tokuda, H. Zen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sample Efficient Adaptive Text-to-Speech pdf

Heiga Zen, Quan Wang, Nando de Freitas, 2018, ICLR.

Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends

Heiga Zen, Li Deng, Zhen-Hua Ling, 2015, IEEE Signal Processing Magazine.

Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis

Heiga Zen, Andrew W. Senior, A. Senior, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

State Duration Modeling for HMM-Based Speech Synthesis

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2007, IEICE Trans. Inf. Syst..

Statistical Parametric Speech Synthesis

Heiga Zen, Keiichi Tokuda, Alan W. Black, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2007, Comput. Speech Lang..

The HMM-based speech synthesis system (HTS) version 2.0

Heiga Zen, Keiichi Tokuda, Takashi Nose, 2007, SSW.

An HMM-Based Brazilian Portuguese Speech Synthesizer and Its Characteristics DOI: 10.14209/jcis.2006.11

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2015 .

Hidden semi-Markov model based speech synthesis

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2004, INTERSPEECH.

Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization

Heiga Zen, Sacha Krstulovic, Mark J. F. Gales, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Autoregressive Models for Statistical Parametric Speech Synthesis

Heiga Zen, William J. Byrne, Matt Shannon, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

IMPLEMENTING AN HSMM-BASED SPEECH SYNTHESIS SYSTEM USING AN EFFICIENT FORWARD-BACKWARD ALGORITHM

H. Zen, 2007 .

Parallel Tacotron: Non-Autoregressive and Controllable TTS pdf

Heiga Zen, Ron J. Weiss, Ye Jia, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Covariance-Tying Technique for HMM-Based Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010, IEICE Trans. Inf. Syst..

Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Speech Processing for Digital Home Assistants

Heiga Zen, Shinji Watanabe, Tomohiro Nakatani, 2019 .

Explorer Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

H. Zen, K. Tokuda, J. Yamagishi, 2009 .

E-Society Software Development Project for Speech Recognition and Synthesis(Technical Report)

Heiga Zen, Tomoki Toda, Kiyohiro Shikano, 2003 .

Simultaneous clustering of phonetic context, dimension, and state position for acoustic modeling using decision trees

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2005, Systems and Computers in Japan.

MAESTRO: Matched Speech Text Representations through Modality Matching

H. Zen, B. Ramabhadran, P. Moreno, 2022, INTERSPEECH.

CVSS Corpus and Massively Multilingual Speech-to-Speech Translation

Michelle Tadmor Ramanovich, H. Zen, Quan Wang, 2022, LREC.

Statistical Parametric Speech Synthesis

Heiga Zen, Keiichi Tokuda, Alan W. Black, 2007, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Generative Model-Based Text-to-Speech Synthesis

Heiga Zen, H. Zen, 2017 .

ICSLP 2006 Summary -Acoustic Modeling and Speech Synthesis-

Heiga Zen, Yoshihiko Nankaku, Tomoki Toda, 2006 .

Proc. 2009 Asia-Pacific Signal and Information Processing Association (APSIPA)

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009 .

Wavefit: an Iterative and Non-Autoregressive Neural Vocoder Based on Fixed-Point Iteration

H. Zen, M. Bacchiani, K. Yatabe, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation

H. Zen, Yu Zhang, Nanxin Chen, 2022, ArXiv.

Speaker Adaptation of Trajectory HMM

H. Zen, Yoshihiko Nankaku, 2006 .

Deep learning in speech synthesis

Heiga Zen, H. Zen, 2013, SSW.

Statistical parametric speech synthesis: from HMM to LSTM-RNN

Heiga Zen, H. Zen, 2015 .

Speech Synthesis Based on Hidden Markov Models

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2013, Proceedings of the IEEE.

Autoregressive Models for Statistical

Heiga Zen, Matt Shannon, William Byrne, 2013 .

Continuous Stochastic Feature Mapping Based on Trajectory HMMs

H. Zen, K. Tokuda, Yoshihiko Nankaku, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

The Effect of Using Normalized Models in Statistical Speech Synthesis

Heiga Zen, William J. Byrne, Matt Shannon, 2011, INTERSPEECH.

Estimation of Window Coefficients for Dynamic Feature Extraction for HMM-Based Speech Synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2011, INTERSPEECH.

Globally Normalized Model for Statistical Speech Synthesis

Heiga Zen, H. Zen, 2011 .

Statistical parametric speech synthesis with joint estimation of acoustic and excitation model parameters

Heiga Zen, Mark J. F. Gales, Ranniery Maia, 2010, SSW.

Statistical parametric speech synthesis based on product of experts

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Recent development of the HMM-based speech synthesis system (HTS)

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2009 .

Stereo-based stochastic noise compensation based on trajectory GMMS

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unsupervised adaptation for HMM-based speech synthesis

Heiga Zen, Keiichi Tokuda, Simon King, 2008, INTERSPEECH.

Probabilistic feature mapping based on trajectory HMMs

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2008, INTERSPEECH.

Model-space MLLR for trajectory HMMs

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2007, INTERSPEECH.

Speaker adaptation of trajectory HMMs using feature-space MLLR

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, INTERSPEECH.

Speaker-Independent HMM-based Speech Synthesis System: HTS-2007 System for the Blizzard Challenge 2007

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007 .

Speech Research at Google to Enable Universal Speech Interfaces

Heiga Zen, Johan Schalkwyk, Michiel Bacchiani, 2017, New Era for Robust Speech Recognition, Exploiting Deep Learning.

Context-dependent additive log f_0 model for HMM-based speech synthesis

Heiga Zen, Norbert Braunschweiler, H. Zen, 2009, INTERSPEECH.

PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS

Yonghui Wu, H. Zen, Yu Zhang, 2021, Interspeech.

WaveGrad: Estimating Gradients for Waveform Generation pdf

Heiga Zen, Mohammad Norouzi, Ron J. Weiss, 2020, ICLR.

An overview of nitech HMM-based speech synthesis system for blizzard challenge 2005

Heiga Zen, Tomoki Toda, H. Zen, 2005, INTERSPEECH.

Hidden Semi-Markov Model Based Speech Synthesis System

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2006 .

Extracting representative subset from extensive text data for training pre-trained language models

H. Zen, H. Kazawa, Jun Suzuki, 2023, Information Processing & Management.

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis pdf

Heiga Zen, Mohammad Norouzi, Ron J. Weiss, 2021, Interspeech.

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Heiga Zen, Yu Zhang, Yonghui Wu, 2019, INTERSPEECH.

Combining multiple high quality corpora for improving HMM-TTS

Heiga Zen, Mark J. F. Gales, Kate Knill, 2012, INTERSPEECH.

Decision tree-based context clustering based on cross validation and hierarchical priors

Heiga Zen, Mark J. F. Gales, H. Zen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling pdf

Heiga Zen, Yonghui Wu, R. J. Skerry-Ryan, 2021, Interspeech.

Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

Heiga Zen, Bhuvana Ramabhadran, Yonghui Wu, 2019, INTERSPEECH.

Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech

H. Zen, B. Ramabhadran, Ankur Bapna, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling pdf

Heiga Zen, Ye Jia, Isaac Elias, 2020, ArXiv.

Hierarchical Generative Modeling for Controllable Speech Synthesis pdf

Heiga Zen, Yu Zhang, Yuan Cao, 2018, ICLR.

Multi-Language Multi-Speaker Acoustic Modeling for LSTM-RNN Based Statistical Parametric Speech Synthesis

Heiga Zen, Bo Li, H. Zen, 2016, INTERSPEECH.

Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior

Heiga Zen, Bhuvana Ramabhadran, Yu Zhang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis

Heiga Zen, Yu Zhang, Ron J. Weiss, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping

H. Zen, M. Bacchiani, Nanxin Chen, 2022, INTERSPEECH.

Unidirectional long short-term memory recurrent neural network with recurrent output layer for low-latency speech synthesis

Heiga Zen, Hasim Sak, H. Zen, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling pdf

Tara N. Sainath, Ankur Bapna, Navdeep Jaitly, 2019, ArXiv.

Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation

H. Zen, B. Ramabhadran, P. Moreno, 2021, Interspeech.

Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks

Yonghui Wu, H. Zen, V. Wan, 2022, Interspeech.

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations

H. Zen, M. Bacchiani, Ankur Bapna, 2023, ArXiv.

Directly modeling voiced and unvoiced components in speech waveforms by neural networks

Heiga Zen, Keiichi Tokuda, H. Zen, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

Heiga Zen, Shinji Watanabe, Tomohiro Nakatani, 2019, IEEE Signal Processing Magazine.

An HMM-based singing voice synthesis system

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, INTERSPEECH.

Context adaptive training with factorized decision trees for HMM-based statistical parametric speech synthesis

Heiga Zen, Kai Yu, Steve J. Young, 2011, Speech Commun..

The Nitech-NAIST HMM-Based Speech Synthesis System for the Blizzard Challenge 2006

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2006, IEICE Trans. Inf. Syst..

A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2008, IEICE Trans. Inf. Syst..

Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Reformulating the HMM as a Trajectory Model

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004 .

A Viterbi algorithm for a trajectory model derived from HMM with explicit relationship between static and dynamic features

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Trajectory modeling based on HMMs with the explicit relationship between static and dynamic features

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2003, INTERSPEECH.

Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices

Heiga Zen, Fergus Henderson, Yannis Agiomyrgiannakis, 2016, INTERSPEECH.

Details of the Nitech HMM-Based Speech Synthesis System for the Blizzard Challenge 2005

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007, IEICE Trans. Inf. Syst..

Using instantaneous frequency and aperiodicity detection to estimate F0 for high-quality speech synthesis

Heiga Zen, Hideki Kawahara, Yannis Agiomyrgiannakis, 2016, SSW.

LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus

H. Zen, M. Bacchiani, Ankur Bapna, 2023, INTERSPEECH.

Hierarchical Generative Modeling for Controllable Speech Synthesis

Ron J. Weiss, P. Nguyen, Z. Chen, 2018, ICLR.

Improved average-voice-based speech synthesis using gender-mixed modeling and a parameter generation algorithm considering GV

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007, SSW.

Speaker-Independent HMM-based Speech Synthesis System

Heiga Zen, Keiichi Tokuda, Tomoki Toda, 2007 .

Gaussian Process Experts for Voice Conversion

Heiga Zen, Mark J. F. Gales, Nicholas Pilkington, 2011, INTERSPEECH.

A Frame-Based Context-Dependent Acoustic Modeling for Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2010 .

Analysis of stream-dependent tying structure for HMM-based speech synthesis

Yi-Jian Wu, H. Zen, K. Tokuda, 2008, 2008 9th International Conference on Signal Processing.

An introduction of trajectory model into HMM-based speech synthesis

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004, SSW.

SayTap: Language to Quadrupedal Locomotion

Jie Tan, H. Zen, Wenhao Yu, 2023, arXiv.org.

Twenty-Five Years of Evolution in Speech and Language Processing

Dilek Z. Hakkani-Tür, Abdel-rahman Mohamed, M. Picheny, 2023, IEEE Signal Processing Magazine.

Sparse KPCA for feature extraction in speech recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Applying Sparse KPCA for Feature Extraction in Speech Recognition

H. Zen, K. Tokuda, Yoshihiko Nankaku, 2005, IEICE Trans. Inf. Syst..

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations

H. Zen, M. Bacchiani, Ankur Bapna, 2023, 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Speech Synthesis Based on Hidden Markov Models

H. Zen, Keiichiro Oura, K. Tokuda, 2013, Proceedings of the IEEE.

On the Use of Kernel PCA for Feature Extraction in Speech Recognition

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2003, IEICE Trans. Inf. Syst..

Improving the performance of HMM-based very low bit rate speech coding

Heiga Zen, Keiichi Tokuda, Takao Kobayashi, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Constructing emotional speech synthesizers with limited speech database

Heiga Zen, Keiichi Tokuda, Tadashi Kitamura, 2004, INTERSPEECH.

An HMM-based speech synthesis system applied to English

H. Zen, Departmentof ComputerScience, Keiichi Tokuda, 2002, Proceedings of 2002 IEEE Workshop on Speech Synthesis, 2002..

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Dalia El Badawy, Nicola De Cao, Charline Le Lan, 2024, ArXiv.

SayTap: Language to Quadrupedal Locomotion

Jie Tan, H. Zen, Wenhao Yu, 2023, CoRL.

Context adaptive training with factorized decision trees for HMM-based speech synthesis

Heiga Zen, Kai Yu, Steve J. Young, 2010, INTERSPEECH.

A Bayesian approach to HMM-based speech synthesis

Heiga Zen, Yoshihiko Nankaku, Keiichi Tokuda, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speaker-independent HMM-based speech synthesis system - HTS-2007 system for the Blizzard Challenge 2007

H. Zen, T. Toda, Keiichi Tokuda, 2007, Blizzard Challenge.

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Yonghui Wu, H. Zen, R. Skerry-Ryan, 2021, Interspeech.