Kei Sawada

According to our database, Kei Sawada authored at least 28 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems.

Kentaro Mitsui, Koh Mitsuda, Toshiaki Wakatsuki, Yukiya Hono, Kei Sawada

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Release of Pre-Trained Models for the Japanese Language.

Kei Sawada, Tianyu Zhao, Makoto Shing, Kentaro Mitsui, Akio Kaga, Yukiya Hono, Toshiaki Wakatsuki, Koh Mitsuda

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition.

Yukiya Hono, Koh Mitsuda, Tianyu Zhao, Kentaro Mitsui, Toshiaki Wakatsuki, Kei Sawada

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

An Integration of Pre-Trained Speech and Language Models for End-to-End Speech Recognition.

Yukiya Hono, Koh Mitsuda, Tianyu Zhao, Kentaro Mitsui, Toshiaki Wakatsuki, Kei Sawada

CoRR, 2023

Towards human-like spoken dialogue generation between AI agents from written dialogue.

Kentaro Mitsui, Yukiya Hono, Kei Sawada

CoRR, 2023

Text-Guided Scene Sketch-to-Photo Synthesis.

AprilPyone MaungMaung, Makoto Shing, Kentaro Mitsui, Kei Sawada, Fumio Okura

CoRR, 2023

UniFLG: Unified Facial Landmark Generator from Text or Speech.

Kentaro Mitsui, Yukiya Hono, Kei Sawada

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Focused Prefix Tuning for Controllable Text Generation.

Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue.

Kentaro Mitsui, Tianyu Zhao, Kei Sawada, Yukiya Hono, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

MSR-NV: Neural Vocoder Using Multiple Sampling Rates.

Kentaro Mitsui, Kei Sawada

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Backchannel Generation Model for a Third Party Listener Agent.

Divesh Lala, Koji Inoue, Tatsuya Kawahara, Kei Sawada

Proceedings of the International Conference on Human-Agent Interaction, 2022

2021

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning.

Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis.

Yukiya Hono, Kazuna Tsuboi, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2018

Image Recognition Based on Separable Lattice Hmms Using a Deep Neural Network for Output Probability Distributions.

Eiji Ichikawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The NITech text-to-speech system for the Blizzard Challenge 2018.

Kei Sawada, Takenori Yoshimura, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2018, Hyderabad, India, September 8, 2018, 2018

Singing Voice Conversion Using Posted Waveform Data on Music Social Media.

Koki Senda, Yukiya Hono, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

Image Recognition Based on Convolutional Neural Networks Using Features Generated from Separable Lattice Hidden Markov Models.

Takayuki Kasugai, Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017

Image recognition based on discriminative models using features generated from separable lattice HMMS.

Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

The NITech text-to-speech system for the Blizzard Challenge 2017.

Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2017, Stockholm, Sweden, August 25, 2017, 2017

The blizzard machine learning challenge 2017.

Kei Sawada, Keiichi Tokuda, Simon King, Alan W. Black

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models.

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

IEICE Trans. Inf. Syst., 2016

The NITech text-to-speech system for the Blizzard Challenge 2016.

Kei Sawada, Chiaki Asai, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2016, Cuppertino, CA, USA, September 16, 2016, 2016

2015

The NITECH HMM-based text-to-speech system for the Blizzard Challenge 2015.

Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2015, 2015

2014

Overview of NITECH HMM-based text-to-speech system for Blizzard Challenge 2014.

Kei Sawada, Shinji Takaki, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2014, Singapore, Singapore, September 19, 2014, 2014

2013

Overview of NITECH HMM-based speech synthesis system for Blizzard Challenge 2013.

Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2013, 2013

Image recognition based on hidden Markov eigen-image models using variational Bayesian method.

Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012

Face recognition based on separable lattice 2-D HMMS using variational bayesian method.

Kei Sawada, Akira Tamamori, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Overview of NIT HMM-based speech synthesis system for Blizzard Challenge 2012.

Shinji Takaki, Kei Sawada, Kei Hashimoto, Keiichiro Oura, Keiichi Tokuda

Proceedings of the Blizzard Challenge 2012, Portland, OR, USA, September 14, 2012, 2012