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首页> 外文会议>Broadband Multimedia Systems and Broadcasting, 2009. BMSB '09 >Audio and text synchronization for TV news subtitling based on Automatic Speech Recognition
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Audio and text synchronization for TV news subtitling based on Automatic Speech Recognition

机译：基于自动语音识别的电视新闻字幕音频和文本同步

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摘要

The access to the Information Society for deaf and hard of hearing people is a major issue that must be addressed. Subtitling of broadcast news programs is a crucial application that must be incorporated by television companies in order to allow this accessibility and not only for deaf people but for non-impaired ones in noisy and/or crowded places. However, live subtitling is a high cost operation in terms of high qualification human resources and thus, money if high precision is desired. Even assisted systems (that are partially automatic needing human assistance) could result too expensive compared with a fully automatic system. Automatic Speech Recognition researchers can help to perform this task saving both time and money developing systems that delivers subtitles fully synchronized with the announcer speech without human assistance. In this paper we present a real-time system for automatic subtitling of broadcast news programs in Spanish based on the news redaction computer systems (NRCS) texts and an automatic speech recognition engine to allow proper temporal alignment.
机译：聋哑人和听力障碍者进入信息社会是必须解决的主要问题。广播新闻节目的字幕翻译是至关重要的应用程序，电视公司必须将其纳入其中，以使这种访问方式不仅适用于聋人，而且适用于嘈杂和/或拥挤场所的非残障人士。然而，就高职称的人力资源而言，实时字幕是一项高成本的操作，因此，如果需要高精度的话，那就是金钱。与全自动系统相比，即使是辅助系统（部分自动化的系统也需要人工协助）也可能导致成本过高。自动语音识别研究人员可以帮助执行此任务，从而节省时间和金钱，并且无需人工干预，即可开发字幕与播音员语音完全同步的系统。在本文中，我们基于新闻编辑计算机系统（NRCS）文本和自动语音识别引擎提供了一种用于自动对西班牙语广播新闻节目进行字幕的实时系统，并且该语音识别引擎可以进行适当的时间对齐。

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