Search Results for author: Takehito Utsuro

Found 21 papers, 1 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 speech-recognition

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.

Automatic Annotation of Werewolf Game Corpus with Players Revealing Oneselves as Seer/Medium and Divination/Medium Results

no code implementations LREC 2020 Youchao Lin, Miho Kasamatsu, Tengyang Chen, Takuya Fujita, Huanjin Deng, Takehito Utsuro

While playing the communication game {``}Are You a Werewolf{''}, a player always guesses other players{'} roles through discussions, based on his own role and other players{'} crucial utterances.

Measuring Beginner Friendliness of Japanese Web Pages explaining Academic Concepts by Integrating Neural Image Feature and Text Features

no code implementations WS 2018 Hayato Shiokawa, Kota Kawaguchi, Bingcai Han, Takehito Utsuro, Yasuhide Kawada, Masaharu Yoshioka, K, Noriko o

In order to improve the efficiency of using search engine for academic study, it is necessary to invent a technique of measuring the beginner friendliness of a Web page explaining academic concepts and to build an automatic measurement system.

Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy

no code implementations14 Apr 2017 Zi Long, Ryuichiro Kimura, Takehito Utsuro, Tomoharu Mitsuhashi, Mikio Yamamoto

Neural machine translation (NMT), a new approach to machine translation, has achieved promising results comparable to those of traditional approaches such as statistical machine translation (SMT).

Machine Translation Translation

Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation

no code implementations WS 2016 Zi Long, Takehito Utsuro, Tomoharu Mitsuhashi, Mikio Yamamoto

We train an NMT system on bilingual data wherein technical terms are replaced with technical term tokens; this allows it to translate most of the source sentences except technical terms.

Machine Translation Translation

Detecting Japanese Compound Functional Expressions using Canonical/Derivational Relation

no code implementations LREC 2012 Takafumi Suzuki, Yusuke Abe, Itsuki Toyota, Takehito Utsuro, Suguru Matsuyoshi, Masatoshi Tsuchiya

In order to organize Japanese functional expressions with various surface forms, a lexicon of Japanese functional expressions with hierarchical organization was compiled.

Chunking Machine Translation

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