no code implementations • 7 May 2024 • Lijun Wang, Yixian Lu, Ziyan Gao, Kai Li, Jianqiang Huang, Yuntao Kong, Shogo Okada
On the other hand, in this paper, we propose a novel universal blind estimation framework called the blind estimator of room acoustical and physical parameters (BERP), by introducing a new stochastic room impulse response (RIR) model, namely, the sparse stochastic impulse response (SSIR) model, and endowing the BERP with a unified encoder and multiple separate predictors to estimate RPPs and SSIR parameters in parallel.
no code implementations • 21 Nov 2023 • Wenqing Wei, Zhengdong Yang, Yuan Gao, Jiyi Li, Chenhui Chu, Shogo Okada, Sheng Li
The early-stage Alzheimer's disease (AD) detection has been considered an important field of medical studies.
1 code implementation • 7 May 2023 • Sixia Li, Shogo Okada
The results demonstrated that the proposed approach is interpretable and effective for multimodal sentiment analysis.
no code implementations • 9 Feb 2023 • Ryusei Kimura, Takahiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori, Shogo Okada
This paper focuses on the estimation of a driver's psychological characteristics using driving data for driving assistance systems.
no code implementations • 19 Jul 2022 • Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada
The effectiveness of the proposed classification model is evaluated in experiments with two real datasets composed of signatures labeled by experts: a dataset that can be classified with if-then rules and a dataset with elements that do not match an if-then rule.