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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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IEEE_Xplore

Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory

IEEE transactions on audio, speech, and language processing, 2007-11, Vol.15 (8), p.2222-2235

2007

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IEEE_Xplore

Mmdagent-A fully open-source toolkit for voice interaction systems

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.8382-8385

2013

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IEEE_Xplore

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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IEEE_Xplore

Singing Voice Synthesis Based on Generative Adversarial Networks

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.6955-6959

2019

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IEEE_Xplore

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural $F_0$ Model for Statistical Parametric Speech Synthesis

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.157-170

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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IEEE_Xplore

The effect of neural networks in statistical parametric speech synthesis

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.4455-4459

2015

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IEEE_Xplore

PeriodNet: A Non-Autoregressive Raw Waveform Generative Model With a Structure Separating Periodic and Aperiodic Components

IEEE access, 2021, Vol.9, p.137599-137612

2021

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Verfügbarkeit prüfen

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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IEEE_Xplore

Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis

IEEE/ACM transactions on audio, speech, and language processing, 2018-07, Vol.26 (7), p.1177-1184

2018

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IEEE_Xplore

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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IEEE_Xplore

Trajectory training considering global variance for speech synthesis based on neural networks

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.5600-5604

2016

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IEEE_Xplore

Fast and High-Quality Singing Voice Synthesis System Based on Convolutional Neural Networks

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.7239-7243

2020

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IEEE_Xplore

Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011, p.4716-4719

2011

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IEEE_Xplore

HMM-Based singing voice synthesis and its application to Japanese and English

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.265-269

2014

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IEEE_Xplore

Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.2559-2563

2014

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IEEE_Xplore

Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.7883-7887

2013

Link zum Volltext
IEEE_Xplore

Contextual partial additive structure for HMM-based speech synthesis

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, p.7878-7882

2013

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IEEE_Xplore

Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System

IEEE/ACM transactions on audio, speech, and language processing, 2021, Vol.29, p.2803-2815

2021

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Verfügbarkeit prüfen

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis

IEEE/ACM transactions on audio, speech, and language processing, 2020, Vol.28, p.157-170

2020

Link zum Volltext
IEEE_Xplore

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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IEEE_Xplore

Face recognition based on extended separable lattice 2-D HMMS

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, p.2209-2212

2012

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IEEE_Xplore

Recent Development of the DNN-based Singing Voice Synthesis System - Sinsy

2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018, p.1003-1009

2018

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IEEE_Xplore

Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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IEEE_Xplore

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Speech Synthesis Based on Hidden Markov Models

Voice Conversion Based on Maximum-Likelihood Estimation of Spectral Parameter Trajectory

Mmdagent-A fully open-source toolkit for voice interaction systems

Continuous Stochastic Feature Mapping Based on Trajectory HMMs

Singing Voice Synthesis Based on Generative Adversarial Networks

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural $F_0$ Model for Statistical Parametric Speech Synthesis

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

The effect of neural networks in statistical parametric speech synthesis

PeriodNet: A Non-Autoregressive Raw Waveform Generative Model With a Structure Separating Periodic and Aperiodic Components

Product of Experts for Statistical Parametric Speech Synthesis

Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis

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

Trajectory training considering global variance for speech synthesis based on neural networks

Fast and High-Quality Singing Voice Synthesis System Based on Convolutional Neural Networks

Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis

HMM-Based singing voice synthesis and its application to Japanese and English

Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis

Integration of acoustic modeling and mel-cepstral analysis for HMM-based speech synthesis

Contextual partial additive structure for HMM-based speech synthesis

Sinsy: A Deep Neural Network-Based Singing Voice Synthesis System

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis

A Bayesian approach to HMM-based speech synthesis

Face recognition based on extended separable lattice 2-D HMMS

Recent Development of the DNN-based Singing Voice Synthesis System - Sinsy

Singing Voice Synthesis Based on a Musical Note Position-Aware Attention Mechanism

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