Tomoki Koriyama

发表

Statistical Parametric Speech Synthesis Based on Gaussian Process Regression

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2014, IEEE Journal of Selected Topics in Signal Processing.

DNN-based Speech Synthesis Using Abundant Tags of Spontaneous Speech Corpus

Tomoki Koriyama, Yuki Yamashita, Yuki Saito, 2020, LREC.

HMM-based expressive speech synthesis based on phrase-level F0 context labeling

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Transform mapping using shared decision tree context clustering for HMM-based cross-lingual speech synthesis

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2014, INTERSPEECH.

Tone modeling using Gaussian process latent variable model for statistical speech synthesis

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2016 .

Parametric speech synthesis based on Gaussian process regression using global variance and hyperparameter optimization

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sampling-Based Speech Parameter Generation Using Moment-Matching Networks

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2017, INTERSPEECH.

Enhanced F0 generation for GPR-based speech synthesis considering syllable-based prosodic features

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2020, Acoustical Science and Technology.

An F0 modeling technique based on prosodic events for spontaneous speech synthesis

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Generative Moment Matching Network-Based Neural Double-Tracking for Synthesized and Natural Singing Voices

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2020, IEICE Trans. Inf. Syst..

Statistical Speech Synthesis Using Extended Context and Gaussian Process Regression

Tomoki Koriyama, 郡山知樹, 2013 .

Statistical Parametric Speech Synthesis Using Deep Gaussian Processes

Takao Kobayashi, Tomoki Koriyama, Tomoki Koriyama, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

HMM-based Thai speech synthesis using unsupervised stress context labeling

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

Accent type and phrase boundary estimation using acoustic and language models for automatic prosodic labeling

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2014, INTERSPEECH.

Prosody generation using frame-based Gaussian process regression and classification for statistical parametric speech synthesis

Takao Kobayashi, Tomoki Koriyama, Tomoki Koriyama, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A style control technique for singing voice synthesis based on multiple-regression HSMM

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2013, INTERSPEECH.

GPR-based Thai speech synthesis using multi-level duration prediction

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2018, Speech Commun..

Investigating Effective Additional Contextual Factors in DNN-Based Spontaneous Speech Synthesis

Tomoki Koriyama, Shinnosuke Takamichi, Yusuke Ijima, 2020, INTERSPEECH.

Cross-Lingual Text-To-Speech Synthesis via Domain Adaptation and Perceptual Similarity Regression in Speaker Space

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2020, INTERSPEECH.

Duration prediction using multiple Gaussian process experts for GPR-based speech synthesis

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Statistical nonparametric speech synthesis using sparse Gaussian processes

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2013, INTERSPEECH.

JVS corpus: free Japanese multi-speaker voice corpus pdf

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2019, ArXiv.

A speaker adaptation technique for Gaussian process regression based speech synthesis using feature space transform

Takao Kobayashi, Tomoki Koriyama, Syohei Oshio, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Frame-level acoustic modeling based on Gaussian process regression for statistical nonparametric speech synthesis

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Use of Extended Context for HMM-Based Spontaneous Conversational Speech Synthesis

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2011, INTERSPEECH.

Multi-speaker Text-to-speech Synthesis Using Deep Gaussian Processes

Tomoki Koriyama, Hiroshi Saruwatari, Kentaro Mitsui, 2020, INTERSPEECH.

A Study on Conversational Speech Synthesis Based on Average Voice Model

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2010 .

A comparison of speech synthesis systems based on GPR, HMM, and DNN with a small amount of training data

Takao Kobayashi, Tomoki Koriyama, Tomoki Koriyama, 2015, INTERSPEECH.

An introduction of Gaussian processes and deep Gaussian processes and their applications to speech processing

Tomoki Koriyama, 2020 .

Duration prediction using multi-level model for GPR-based speech synthesis

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2015, INTERSPEECH.

Utterance-Level Sequential Modeling for Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit

Tomoki Koriyama, Hiroshi Saruwatari, H. Saruwatari, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Tone Modeling Using Stress Information for HMM-Based Thai Speech Synthesis

Takashi Nose, Tomoki Koriyama, Takao Kobayashi, 2014 .

Speech emotion recognition using convolutional long short-term memory neural network and support vector machines

Takao Kobayashi, Tomoki Koriyama, Chai Wutiwiwatchai, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

HMM-based expressive singing voice synthesis with singing style control and robust pitch modeling

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2015, Comput. Speech Lang..

A Training Method Using DNN-guided Layerwise Pretraining for Deep Gaussian Processes

Takao Kobayashi, Tomoki Koriyama, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Discontinuous Observation HMM for Prosodic-Event-Based F0 Generation

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2012, INTERSPEECH.

Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model

Tomoki Koriyama, Takao Kobayashi, Tomoki Koriyama, 2019, INTERSPEECH.

Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2014, Speech Commun..

Parametric speech synthesis using local and global sparse Gaussian processes

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).