Simultaneous Subtitling System for Broadcast News Programs with a Speech Recognizer

Akio ANDO  Toru IMAI  Akio KOBAYASHI  Shinich HOMMA  Jun GOTO  Nobumasa SEIYAMA  Takeshi MISHIMA  Takeshi KOBAYAKAWA  Shoei SATO  Kazuo ONOE  Hiroyuki SEGI  Atsushi IMAI  Atsushi MATSUI  Akira NAKAMURA  Hideki TANAKA  Tohru TAKAGI  Eiichi MIYASAKA  Haruo ISONO  

IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.1   pp.15-25
Publication Date: 2003/01/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: INVITED PAPER (Special Issue on the 2001 IEICE Excellent Paper Award)
closed-caption service for news program,  speech recognition,  recognition error correction,  real-time processing,  system in the practical use,  

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There is a strong demand to expand captioned broadcasting for TV news programs in Japan. However, keyboard entry of captioned manuscripts for news program cannot keep pace with the speed of speech, because in the case of Japanese it takes time to select the correct characters from among homonyms. In order to implement simultaneous subtitled broadcasting for Japanese news programs, a simultaneous subtitling system by speech recognition has been developed. This system consists of a real-time speech recognition system to handle broadcast news transcription and a recognition-error correction system that manually corrects mistakes in the recognition result with short delay time. NHK started simultaneous subtitled broadcasting for the news program "News 7" on the evening of March 27, 2000.