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pro vyhledávání: '"Morita Takashi"'
Reservoir computing, a machine learning framework used for modeling the brain, can predict temporal data with little observations and minimal computational resources. However, it is difficult to accurately reproduce the long-term target time series b
Externí odkaz:
http://arxiv.org/abs/2406.02867
Autor:
Morita, Takashi
This study reports an unintuitive finding that positional encoding enhances learning of recurrent neural networks (RNNs). Positional encoding is a high-dimensional representation of time indices on input data. Most famously, positional encoding compl
Externí odkaz:
http://arxiv.org/abs/2402.00236
Publikováno v:
IEEE Access 12 (2024) 13165-13182
We propose a new parameter-adaptive uncertainty-penalized Bayesian information criterion (UBIC) to prioritize the parsimonious partial differential equation (PDE) that sufficiently governs noisy spatial-temporal observed data with few reliable terms.
Externí odkaz:
http://arxiv.org/abs/2308.10283
Publikováno v:
Mach. Learn.: Sci. Technol. 4 015009 (2023)
This work is concerned with discovering the governing partial differential equation (PDE) of a physical system. Existing methods have demonstrated the PDE identification from finite observations but failed to maintain satisfying results against noisy
Externí odkaz:
http://arxiv.org/abs/2206.12901
Autor:
Seo, Masahiro, Watanabe, Tetsuya, Yamada, Takahisa, Morita, Takashi, Kawasaki, Masato, Kikuchi, Atsushi, Kondo, Takumi, Kawai, Tsutomu, Nishimoto, Yuji, Nakamura, Jun, Fujita, Takeshi, Tanichi, Masanao, Chang, Yongchol, Oshita, Takuya, Kokubu, Yuki, Fukuda, Yuto, Shimizu, Kentaro, Kinugawa, Makoto, Sakai, Katsuyoshi, Sakata, Yasushi, Fukunami, Masatake
Publikováno v:
In Journal of Cardiology April 2024 83(4):243-249
Autor:
Morita, Takashi, Koda, Hiroki
In this study, we reported our exploration of Text-To-Speech without Text (TTS without T) in the Zero Resource Speech Challenge 2020, in which participants proposed an end-to-end, unsupervised system that learned speech recognition and TTS together.
Externí odkaz:
http://arxiv.org/abs/2005.05487
Akademický článek
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Autor:
Hiekata Takashi, Ikeda Youhei, Hashimoto Hiroshi, Morita Takashi, Mori Yoshimitsu, Saruwatari Hiroshi, Takatani Tomoya, Ukai Satoshi, Shikano Kiyohiro
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2006, Iss 1, p 034970 (2006)
A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combine
Externí odkaz:
https://doaj.org/article/01f9973590734392acc0b6e25902aeee
Autor:
Futrell, Richard, Wilcox, Ethan, Morita, Takashi, Qian, Peng, Ballesteros, Miguel, Levy, Roger
We deploy the methods of controlled psycholinguistic experimentation to shed light on the extent to which the behavior of neural network language models reflects incremental representations of syntactic state. To do so, we examine model behavior on a
Externí odkaz:
http://arxiv.org/abs/1903.03260
Autor:
Morita, Takashi, Koda, Hiroki
A pervasive belief with regard to the differences between human language and animal vocal sequences (song) is that they belong to different classes of computational complexity, with animal song belonging to regular languages, whereas human language i
Externí odkaz:
http://arxiv.org/abs/1811.02507