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publications

A Graph Regularized RPCA by Generalized Moreau Enhanced Model

Published in Proc. European Signal Processing Conference (EUSIPCO), 2021

Recommended citation: R Komatsu, M Yamagishi, and I Yamada, "A Graph Regularized RPCA by Generalized Moreau Enhanced Model," in Proc. European Signal Processing Conference (EUSIPCO), Aug. 2021, pp. 2129-2133.
Paper

Pronunciation Adaptive Self Speaking Agent Using WaveGrad

Published in Proc. The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing, 2022

Recommended citation: T. Tanaka, R. Komatsu, T. Okamoto, and T. shinozaki, "Pronunciation adaptive self speaking agent using wavegrad," in Proc. The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing, Feb. 2022.
Paper | Slides | Code

Automatic Spoken Language Acquisition Based on Observation and Dialogue

Published in IEEE Journal of Selected Topics in Signal Processing, 2022

Recommended citation: R. Komatsu, S. Gao, W. Hou, M. Zhang, T. Tanaka, K. Toyoda, Y. Kimura, K. Hino, Y. Iwamoto, K. Mori, T. Okamoto, and T. Shinozaki, "Automatic spoken language acquisition based on observation and dialogue," IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 16, no. 6, pp. 1480–1492, 2022.
Paper | Code

Continuous Action Space-Based Spoken Language Acquisition Agent Using Residual Sentence Embedding and Transformer Decoder

Published in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

Recommended citation: R. Komatsu, Y. Kimura, T. Okamoto, and T. Shinozaki, "Continuous action space-based spoken language acquisition agent using residual sentence embedding and transformer decoder," in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 2023.
Paper | Slides | Code

Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT

Published in Proc. IEEE Spoken Language Technology Workshop (SLT), 2024

Recommended citation: R. Komatsu and T. Shinozaki, "Self-supervised syllable discovery based on speaker-disentangled HuBERT," in Proc. IEEE Spoken Language Technology Workshop (SLT), Dec. 2024, pp. 1131–1136.
Paper | Slides | Code

Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization

Published in IEEE Open Journal of Signal Processing, 2026

Recommended citation: R. Komatsu, K. Kawakita, T. Okamoto, and T. Shinozaki, "Speaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization," IEEE Open Journal of Signal Processing, vol. 7, pp. 800–808, 2026.
Paper | Code

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015