文章基本信息

标题：リアルタイムニュース字幕修正作業のための音声認識誤り自動検出法
本地全文：下载
作者：三島剛 ; 清山信正 ; 今井篤等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2003
卷号：57
期号：12
页码：1709-1716
DOI：10.3169/itej.57.12_1709
出版社：The Institute of Image Information and Television Engineers
摘要：A speech recognition system with a manual error correction has been developed to produce closed captions in live broadcasting programs such as news programs. Speech recognition errors, however, are not corrected completely because the correctors often miss errors due to lack of care or successive erroneous words. In this paper, we propose a method that detects errors automatically to assist manual correction. A coustic parameters were extracted from both correct and erroneous results of all morphemes produced by speech recognition systems. Templates which can precisely distinguish between errors and correct results, were then constructed by genetic algorithms (GA) and discriminative training. Consequently, theerrors are detected by comparing the acoustic parameters of an unknown recognition result with the templates. Experiments have confirmed that presenting erroneous words by using the proposed method is effective for improving corrector error detection.
关键词：GA;ニュース宇幕放送;認識誤り修正;識別学習;修正支援