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2020 – today
- 2024
[c23]Yukiya Hono, Koh Mitsuda, Tianyu Zhao, Kentaro Mitsui, Toshiaki Wakatsuki, Kei Sawada:
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition. ACL (Findings) 2024: 13289-13305- [c22]Kei Sawada, Tianyu Zhao, Makoto Shing, Kentaro Mitsui, Akio Kaga, Yukiya Hono, Toshiaki Wakatsuki, Koh Mitsuda:
Release of Pre-Trained Models for the Japanese Language. LREC/COLING 2024: 13898-13905 - [i10]Kei Sawada, Tianyu Zhao, Makoto Shing, Kentaro Mitsui, Akio Kaga, Yukiya Hono, Toshiaki Wakatsuki, Koh Mitsuda:
Release of Pre-Trained Models for the Japanese Language. CoRR abs/2404.01657 (2024) - [i9]Kentaro Mitsui, Koh Mitsuda, Toshiaki Wakatsuki, Yukiya Hono, Kei Sawada:
PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems. CoRR abs/2406.12428 (2024) - 2023
- [c21]Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura:
Focused Prefix Tuning for Controllable Text Generation. ACL (2) 2023: 1116-1127 - [c20]Kentaro Mitsui, Yukiya Hono, Kei Sawada:
UniFLG: Unified Facial Landmark Generator from Text or Speech. INTERSPEECH 2023: 5501-5505 - [i8]AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui, Kei Sawada, Fumio Okura:
Text-Guided Scene Sketch-to-Photo Synthesis. CoRR abs/2302.06883 (2023) - [i7]Kentaro Mitsui, Yukiya Hono, Kei Sawada:
UniFLG: Unified Facial Landmark Generator from Text or Speech. CoRR abs/2302.14337 (2023) - [i6]Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura:
Focused Prefix Tuning for Controllable Text Generation. CoRR abs/2306.00369 (2023) - [i5]Kentaro Mitsui, Yukiya Hono, Kei Sawada:
Towards human-like spoken dialogue generation between AI agents from written dialogue. CoRR abs/2310.01088 (2023) - [i4]Yukiya Hono, Koh Mitsuda, Tianyu Zhao, Kentaro Mitsui, Toshiaki Wakatsuki, Kei Sawada:
An Integration of Pre-Trained Speech and Language Models for End-to-End Speech Recognition. CoRR abs/2312.03668 (2023) - 2022
- [c19]Divesh Lala, Koji Inoue, Tatsuya Kawahara, Kei Sawada:
Backchannel Generation Model for a Third Party Listener Agent. HAI 2022: 114-122 - [c18]Kentaro Mitsui, Kei Sawada:
MSR-NV: Neural Vocoder Using Multiple Sampling Rates. INTERSPEECH 2022: 798-802 - [c17]Kentaro Mitsui, Tianyu Zhao, Kei Sawada, Yukiya Hono, Yoshihiko Nankaku, Keiichi Tokuda:
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue. INTERSPEECH 2022: 2328-2332 - [i3]Kentaro Mitsui, Tianyu Zhao, Kei Sawada, Yukiya Hono, Yoshihiko Nankaku, Keiichi Tokuda:
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue. CoRR abs/2206.12040 (2022) - 2021
- [c16]Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang:
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning. ICLR 2021 - [i2]Kentaro Mitsui, Kei Sawada:
MSR-NV: Neural Vocoder Using Multiple Sampling Rates. CoRR abs/2109.13714 (2021) - 2020
- [c15]Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. INTERSPEECH 2020: 3441-3445 - [i1]Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis. CoRR abs/2009.08474 (2020)
2010 – 2019
- 2018
- [c14]Takayuki Kasugai, Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Image Recognition Based on Convolutional Neural Networks Using Features Generated from Separable Lattice Hidden Markov Models. APSIPA 2018: 324-328 - [c13]Koki Senda, Yukiya Hono, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
Singing Voice Conversion Using Posted Waveform Data on Music Social Media. APSIPA 2018: 1913-1917 - [c12]Kei Sawada, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda:
The NITech text-to-speech system for the Blizzard Challenge 2018. Blizzard Challenge 2018 - [c11]Eiji Ichikawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Image Recognition Based on Separable Lattice Hmms Using a Deep Neural Network for Output Probability Distributions. ICASSP 2018: 3021-3025 - 2017
- [c10]Kei Sawada, Keiichi Tokuda, Simon King, Alan W. Black:
The blizzard machine learning challenge 2017. ASRU 2017: 331-337 - [c9]Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
The NITech text-to-speech system for the Blizzard Challenge 2017. Blizzard Challenge 2017 - [c8]Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Image recognition based on discriminative models using features generated from separable lattice HMMS. ICASSP 2017: 2607-2611 - 2016
- [j1]Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models. IEICE Trans. Inf. Syst. 99-D(12): 3119-3131 (2016) - [c7]Kei Sawada, Chiaki Asai, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
The NITech text-to-speech system for the Blizzard Challenge 2016. Blizzard Challenge 2016 - 2015
- [c6]Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
The NITECH HMM-based text-to-speech system for the Blizzard Challenge 2015. Blizzard Challenge 2015 - 2014
- [c5]Kei Sawada, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
Overview of NITECH HMM-based text-to-speech system for Blizzard Challenge 2014. Blizzard Challenge 2014 - 2013
- [c4]Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Image recognition based on hidden Markov eigen-image models using variational Bayesian method. APSIPA 2013: 1-8 - [c3]Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
Overview of NITECH HMM-based speech synthesis system for Blizzard Challenge 2013. Blizzard Challenge 2013 - 2012
- [c2]Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda:
Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2012. Blizzard Challenge 2012 - [c1]Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda:
Face recognition based on separable lattice 2-D HMMS using variational bayesian method. ICASSP 2012: 2205-2208
Coauthor Index
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