1 code implementation • Findings (EMNLP) 2021 • Kouta Nakayama, Shuhei Kurita, Akio Kobayashi, Yukino Baba, Satoshi Sekine
In this research, we propose a scheme to utilize all those systems which participated in the shared tasks.
1 code implementation • 3 Apr 2021 • Yu Wang, Chee Siang Leow, Akio Kobayashi, Takehito Utsuro, Hiromitsu Nishizaki
This paper describes the ExKaldi-RT online automatic speech recognition (ASR) toolkit that is implemented based on the Kaldi ASR toolkit and Python language.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2020 • Huaijin Deng, Youchao Lin, Takehito Utsuro, Akio Kobayashi, Hiromitsu Nishizaki, Junichi Hoshino
The experimental evaluation results of those integrated diverse features indicate that time sequential acoustic features contribute to improving the model with disfluency-based and prosodic features when detecting fluent speech, but not when detecting disfluent speech.
no code implementations • AKBC 2019 • Satoshi Sekine, Akio Kobayashi, Kouta Nakayama
We believe this situation can be improved by the following changes: 1. designing the shared-task to construct knowledge base rather than evaluating only limited test data 2. making the outputs of all the systems open to public so that we can run ensemble learning to create the better results than the best systems 3. repeating the task so that we can run the task with the larger and better training data from the output of the previous task (bootstrapping and active learning) We conducted “SHINRA2018” with the above mentioned scheme and in this paper we report the results and the future directions of the project.
no code implementations • WS 2016 • Yasutomo Kimura, Keiichi Takamaru, Takuma Tanaka, Akio Kobayashi, Hiroki Sakaji, Yuzu Uchida, Hokuto Ototake, Shigeru Masuyama
This paper describes a Japanese political corpus created for interdisciplinary political research.