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Tomoki Koriyama
Tomoki Koriyama
CyberAgent AI Lab
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Cited by
Year
Utmos: Utokyo-sarulab system for voicemos challenge 2022
T Saeki, D Xin, W Nakata, T Koriyama, S Takamichi, H Saruwatari
arXiv preprint arXiv:2204.02152, 2022
692022
JVS corpus: free Japanese multi-speaker voice corpus
S Takamichi, K Mitsui, Y Saito, T Koriyama, N Tanji, H Saruwatari
arXiv preprint arXiv:1908.06248, 2019
652019
Statistical parametric speech synthesis based on Gaussian process regression
T Koriyama, T Nose, T Kobayashi
IEEE Journal of Selected Topics in Signal Processing 8 (2), 173-183, 2013
582013
JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research
S Takamichi, R Sonobe, K Mitsui, Y Saito, T Koriyama, N Tanji, ...
Acoustical Science and Technology 41 (5), 761-768, 2020
562020
Speech emotion recognition using convolutional long short-term memory neural network and support vector machines
N Kurpukdee, T Koriyama, T Kobayashi, S Kasuriya, C Wutiwiwatchai, ...
2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017
342017
Statistical parametric speech synthesis using deep Gaussian processes
T Koriyama, T Kobayashi
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (5), 948-959, 2019
272019
On the use of extended context for HMM-based spontaneous conversational speech synthesis
T Koriyama, T Nose, T Kobayashi
Twelfth Annual Conference of the International Speech Communication Association, 2011
232011
Cross-Lingual Text-To-Speech Synthesis via Domain Adaptation and Perceptual Similarity Regression in Speaker Space.
D Xin, Y Saito, S Takamichi, T Koriyama, H Saruwatari
Interspeech, 2947-2951, 2020
222020
Sampling-based speech parameter generation using moment-matching networks
S Takamichi, T Koriyama, H Saruwatari
arXiv preprint arXiv:1704.03626, 2017
222017
HMM-based expressive singing voice synthesis with singing style control and robust pitch modeling
T Nose, M Kanemoto, T Koriyama, T Kobayashi
Computer Speech & Language 34 (1), 308-322, 2015
222015
Prosody generation using frame-based Gaussian process regression and classification for statistical parametric speech synthesis
T Koriyama, T Kobayashi
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
152015
Parametric speech synthesis based on Gaussian process regression using global variance and hyperparameter optimization
T Koriyama, T Nose, T Kobayashi
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
152014
Prosodic variation enhancement using unsupervised context labeling for HMM-based expressive speech synthesis
Y Maeno, T Nose, T Kobayashi, T Koriyama, Y Ijima, H Nakajima, ...
Speech Communication 57, 144-154, 2014
152014
Conversational spontaneous speech synthesis using average voice model.
T Koriyama, T Nose, T Kobayashi
INTERSPEECH, 853-856, 2010
152010
Audiobook speech synthesis conditioned by cross-sentence context-aware word embeddings
W Nakata, T Koriyama, S Takamichi, N Tanji, Y Ijima, R Masumura, ...
11th ISCA Speech Synthesis Workshop (SSW 11), 211-215, 2021
142021
A comparison of speech synthesis systems based on GPR, HMM, and DNN with a small amount of training data.
T Koriyama, T Kobayashi
INTERSPEECH, 3496-3500, 2015
142015
Cross-Lingual Speaker Adaptation Using Domain Adaptation and Speaker Consistency Loss for Text-To-Speech Synthesis.
D Xin, Y Saito, S Takamichi, T Koriyama, H Saruwatari
Interspeech, 1614-1618, 2021
122021
Statistical nonparametric speech synthesis using sparse Gaussian
T Koriyama, T Nose, T Kobayashi
The Journal of Machine Learning Research 6, 1939-1959, 2005
112005
Duration-aware pause insertion using pre-trained language model for multi-speaker text-to-speech
D Yang, T Koriyama, Y Saito, T Saeki, D Xin, H Saruwatari
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
102023
An introduction of Gaussian processes and deep Gaussian processes and their applications to speech processing
T Koriyama
Acoustical Science and Technology 41 (2), 457-464, 2020
102020
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