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

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4470-4474

2015

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Statistical parametric speech synthesis using deep neural networks

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.7962-7966

2013

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Speech Synthesis Based on Hidden Markov Models

Proceedings of the IEEE, 2013-05, Vol.101 (5), p.1234-1252

2013

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

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3844-3848

2014

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

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6264-6268

2020

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Autoregressive Models for Statistical Parametric Speech Synthesis

IEEE transactions on audio, speech, and language processing, 2013-03, Vol.21 (3), p.587-597

2013

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

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.6699-6703

2020

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

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4215-4219

2015

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Continuous Stochastic Feature Mapping Based on Trajectory HMMs

IEEE transactions on audio, speech, and language processing, 2011-02, Vol.19 (2), p.417-430

2011

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

IEEE transactions on audio, speech, and language processing, 2009-08, Vol.17 (6), p.1208-1230

2009

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

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5640-5644

2016

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

IEICE transactions on information and systems, 2007-01, Vol.E90-D (1), p.325-333

2007

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

Computer speech & language, 2007, Vol.21 (1), p.153-173

2007

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Product of Experts for Statistical Parametric Speech Synthesis

IEEE transactions on audio, speech, and language processing, 2012-03, Vol.20 (3), p.794-805

2012

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

Speech communication, 2011-07, Vol.53 (6), p.914-923

2011

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Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

IEEE open journal of signal processing, 2024, Vol.5, p.790-798

2024

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

Information processing & management, 2023-05, Vol.60 (3), p.103249, Article 103249

2023

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

IEICE Transactions on Information and Systems, 2008/06/01, Vol.E91.D(6), pp.1764-1773

2008

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Statistical parametric speech synthesis

Speech communication, 2009-11, Vol.51 (11), p.1039-1064

2009

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Parallel Tacotron: Non-Autoregressive and Controllable TTS

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.5709-5713

2021

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Bayesian Context Clustering Using Cross Validation for Speech Recognition

IEICE Transactions on Information and Systems, 2011/03/01, Vol.E94.D(3), pp.668-678

2011

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A Covariance-Tying Technique for HMM-Based Speech Synthesis

IEICE Transactions on Information and Systems, 2010/03/01, Vol.E93.D(3), pp.595-601

2010

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Speech recognition based on statistical models including multiple phonetic decision trees

Acoustical science and technology, 2011-01, Vol.32 (6), p.236-243

2011

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A Bayesian approach to HMM-based speech synthesis

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.4029-4032

2009

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Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.3957-3960

2008

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

Statistical parametric speech synthesis using deep neural networks

Speech Synthesis Based on Hidden Markov Models

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

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

Autoregressive Models for Statistical Parametric Speech Synthesis

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

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

Continuous Stochastic Feature Mapping Based on Trajectory HMMs

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

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

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

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

Product of Experts for Statistical Parametric Speech Synthesis

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

Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech

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

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

Statistical parametric speech synthesis

Parallel Tacotron: Non-Autoregressive and Controllable TTS

Bayesian Context Clustering Using Cross Validation for Speech Recognition

A Covariance-Tying Technique for HMM-Based Speech Synthesis

Speech recognition based on statistical models including multiple phonetic decision trees

A Bayesian approach to HMM-based speech synthesis

Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007

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