Automatic Speech Recognition (ASR) System for the Japanese Parliament (Diet)
Articles
Major Publications
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Tatsuya Kawahara, Shoko Ueno, and Masaya Morikawa.
Transcription system using automatic speech recognition in the
Japanese Parliament.
The Journal of Professional Reporting and Transcription (Tiro),
No.1, 2020.
(text)
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T.Kawahara.
Automatic meeting transcription system for the Japanese Parliament
(Diet).
In Proc. APSIPA ASC, (overview talk), 2017.
(PDF file)
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T.Kawahara.
Transcription system using automatic speech recognition for the
Japanese Parliament (Diet).
In Proc. AAAI/IAAI, 2012.
(PDF file)
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T.Kawahara.
Automatic transcription of parliamentary meetings and classroom
lectures -- a sustainable approach and real system evaluations --.
In Proc. Int'l Sympo. Chinese Spoken Language Processing
(ISCSLP), pp.1--6 (keynote speech), 2010.
(text)
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Y.Akita and T.Kawahara.
Statistical transformation of language and pronunciation models for
spontaneous speech recognition.
IEEE Trans. Audio, Speech \& Language Process., Vol.18, No.6,
pp.1539--1549, 2010.
(text)
(PDF file)
(KURENAI)
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T.Hori, C.Hori, Y.Minami, and A.Nakamura.
Efficient WFST-based one-pass decoding with on-the-fly hypothesis
rescoring in extremely large vocabulary continuous speech recognition.
IEEE Trans. Audio, Speech \& Language Process., Vol.15, No.4,
pp.1352-1365, 2007.
(text)
(PDF file)
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Y.Akita, M.Mimura, G.Neubig, and T.Kawahara.
Semi-automated update of automatic transcription system for the
Japanese national congress.
In Proc. INTERSPEECH, pp.338--341, 2010.
(PDF file)
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Y.Akita, M.Mimura, and T.Kawahara.
Automatic transcription system for meetings of the Japanese
national congress.
In Proc. INTERSPEECH, pp.84--87, 2009.
(PDF file)
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T.Kawahara, M.Mimura, and Y.Akita.
Language model transformation applied to lightly supervised training
of acoustic model for congress meetings.
In Proc. IEEE-ICASSP, pp.3853--3856, 2009.
(PDF file)