no code implementations • SIGDIAL (ACL) 2020 • Tsunehiro Arimoto, Ryuichiro Higashinaka, Kou Tanaka, Takahito Kawanishi, Hiroaki Sugiyama, Hiroshi Sawada, Hiroshi Ishiguro
We are studying a cooperation style where multiple speakers can provide both advanced dialogue services and operator education.
no code implementations • 26 Nov 2021 • Hitoshi Shimizu, Hirohiko Suwa, Tomoharu Iwata, Akinori Fujino, Hiroshi Sawada, Keiichi Yasumoto
In this study, we formulate the "Evacuation Shelter Scheduling Problem," which allocates evacuees to shelters in such a way to minimize the movement costs of the evacuees and the operation costs of the shelters.
no code implementations • 20 Nov 2021 • Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Naoyuki Kamo, Shoko Araki
This paper develops a framework that can perform denoising, dereverberation, and source separation accurately by using a relatively small number of microphones.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 1 Sep 2021 • Kazuo Aoyama, Hiroshi Sawada
Among them, a circuit with a multiple-layered structure of programmable Mach-Zehnder interferometers (MZIs) can realize a specific class of unitary matrices with a limited number of MZIs as its weight matrix.
no code implementations • 4 Aug 2021 • Tomohiro Nakatani, Rintaro Ikeshita, Keisuke Kinoshita, Hiroshi Sawada, Shoko Araki
This paper proposes an approach for optimizing a Convolutional BeamFormer (CBF) that can jointly perform denoising (DN), dereverberation (DR), and source separation (SS).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 21 Jan 2021 • Nobutaka Ito, Rintaro Ikeshita, Hiroshi Sawada, Tomohiro Nakatani
Based on this approach, we present FastFCA, a computationally efficient extension of FCA.
Audio Source Separation Sound Audio and Speech Processing
no code implementations • 2 Apr 2020 • Kosuke Takiguchi, Yuki K. Wakabayashi, Hiroshi Irie, Yoshiharu Krockenberger, Takuma Otsuka, Hiroshi Sawada, Sergey A. Nikolaev, Hena Das, Masaaki Tanaka, Yoshitaka Taniyasu, Hideki Yamamoto
SrRuO3, a 4d ferromagnetic metal often used as an epitaxial conducting layer in oxide heterostructures, provides a promising opportunity to seek for the existence of magnetic Weyl fermions.
Materials Science Strongly Correlated Electrons
no code implementations • 23 Oct 2018 • Tomoharu Iwata, Takuma Otsuka, Hitoshi Shimizu, Hiroshi Sawada, Futoshi Naya, Naonori Ueda
In this paper, we propose a method to learn a function that outputs regulation effects given the current traffic situation as inputs.
no code implementations • 15 Feb 2018 • Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada
Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention.
no code implementations • 25 Dec 2015 • Hideaki Kim, Hiroshi Sawada
The histogram method is a powerful non-parametric approach for estimating the probability density function of a continuous variable.
no code implementations • NeurIPS 2015 • Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada
We propose a kernel-based method for finding matching between instances across different domains, such as multilingual documents and images with annotations.
no code implementations • NeurIPS 2014 • Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
With the latent SMM, a latent vector is associated with each vocabulary term, and each document is represented as a distribution of the latent vectors for words appearing in the document.