UB Paderborn / Katalog / Suche / in CDI

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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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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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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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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Progress and frontier of text-to-speech synthesis technology

THE JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN, 2018/07/01, Vol.74(7), pp.387-393

Zen, Heiga

2018

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

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4560-4563

2011

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Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion

IEEE transactions on affective computing, 2023-01, Vol.14 (1), p.3-5

2023

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Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization

IEEE transactions on audio, speech, and language processing, 2012-08, Vol.20 (6), p.1713-1724

2012

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

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, p.4621-4624

2008

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Statistical Parametric Speech Synthesis

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.4, p.IV-1229-IV-1232

2007

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テキスト音声合成技術の変遷と最先端

日本音響学会誌, 2018/07/01, Vol.74(7), pp.387-393

全, 炳河

2018

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[Invited] Generative Model-Based Text-to-Speech Synthesis

2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), 2018, p.327-328

Zen, Heiga

2018

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

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-2

2023

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Speech Synthesis Based on Hidden Markov Models: SPEECH INFORMATION PROCESSING: THEORY AND APPLICATIONS

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

2013

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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

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

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

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

Progress and frontier of text-to-speech synthesis technology

A Covariance-Tying Technique for HMM-Based Speech Synthesis

A Bayesian approach to HMM-based speech synthesis

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

Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion

Statistical Parametric Speech Synthesis Based on Speaker and Language Factorization

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

Statistical Parametric Speech Synthesis

テキスト音声合成技術の変遷と最先端

[Invited] Generative Model-Based Text-to-Speech Synthesis

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

Speech Synthesis Based on Hidden Markov Models: SPEECH INFORMATION PROCESSING: THEORY AND APPLICATIONS

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