Search Results for author: Akio Kobayashi

Found 5 papers, 2 papers with code

ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi

1 code implementation3 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

Integrating Disfluency-based and Prosodic Features with Acoustics in Automatic Fluency Evaluation of Spontaneous Speech

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.

SHINRA: Structuring Wikipedia by Collaborative Contribution

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.

Active Learning Attribute +1

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