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.

Title An F 0 modeling technique based on prosodic events for spontaneous speech synthesis

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2017 .

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

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

Sparse Approximation of Gram Matrices for GMMN-based Speech Synthesis

Takao Kobayashi, Tomoki Koriyama, Shinnosuke Takamichi, 2019, 10th ISCA Workshop on Speech Synthesis (SSW 10).

Title Statistical Parametric Speech Synthesis Based on Gaussian Process Regression

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2018 .

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

H. Saruwatari, Tomoki Koriyama, Shinnosuke Takamichi, 2022, INTERSPEECH.

Harmonic WaveGAN: GAN-Based Speech Waveform Generation Model with Harmonic Structure Discriminator

Tomoki Koriyama, Hiroshi Saruwatari, Kazuki Mizuta, 2021, Interspeech.

Predicting VQVAE-based Character Acting Style from Quotation-Annotated Text for Audiobook Speech Synthesis

H. Saruwatari, Tomoki Koriyama, Shinnosuke Takamichi, 2022, 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).

Sampling-Based Speech Parameter Generation Using Moment-Matching Networks

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

Audiobook Speech Synthesis Conditioned by Cross-Sentence Context-Aware Word Embeddings

Tomoki Koriyama, Shinnosuke Takamichi, Yusuke Ijima, 2021, 11th ISCA Speech Synthesis Workshop (SSW 11).

Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech Synthesis

Tomoki Koriyama, Shinnosuke Takamichi, Hiroshi Saruwatari, 2021, Interspeech.

JVS corpus: free Japanese multi-speaker voice corpus pdf

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

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

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

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

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

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).

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

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

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..

A Study on Conversational Speech Synthesis Based on Average Voice Model

Takashi Nose, Takao Kobayashi, Tomoki Koriyama, 2010 .

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

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2016 .

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

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

Unsupervised Stress Information Labeling Using Gaussian Process Latent Variable Model for Statistical Speech Synthesis

Takao Kobayashi, Tomoki Koriyama, Decha Moungsri, 2016, 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).

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.

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

Takashi Nose, Tomoki Koriyama, Takao Kobayashi, 2014 .

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.

Information Title Parametric Speech Synthesis Based on Gaussian Process Regression Using Global Variance and Hyperparameter Optimization

Takashi Nose, Tomoki Koriyama, Takao Kobayashi, 2017 .

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

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

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).

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).

Sequence-to-Sequence Learning for Deep Gaussian Process Based Speech Synthesis Using Self-Attention GP Layer

Tomoki Koriyama, Hiroshi Saruwatari, Taiki Nakamura, 2021, Interspeech.

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

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

Statistical Parametric Speech Synthesis Using Deep Gaussian Processes

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

Duration-Aware Pause Insertion Using Pre-Trained Language Model for Multi-Speaker Text-To-Speech

H. Saruwatari, Tomoki Koriyama, D. Yang, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech

Tomoki Koriyama, Dong Yang, Yuki Saito, 2024, ArXiv.

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).

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.

VAE-based Phoneme Alignment Using Gradient Annealing and SSL Acoustic Features

Tomoki Koriyama, 2024, Interspeech 2024.

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

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