Syncwords: a platform for semi-automated closed captioning and subtitles
نویسنده
چکیده
As progressing social mores and new legislation mandate greater levels of accessibility across broadcast television, online video, education, and the workplace, it becomes ever more important to deliver captioned content at lower cost, with higher quality, and more quickly. To reach those goals, attention is shifting toward automation. While many attempts have been made to apply large vocabulary ASR transcription for this task, the results on noisy, post-processed, multi-speaker recordings are insufficient for most real-world applications, to say the least. More viable is the automated synchronization of a humanprepared transcript with the media, and automating the breaking up of the text into well-structured, meaningful captions. SyncWords is a platform that incorporates innovative, originally developed algorithms for both of these tasks, and presents an easy-to-use commercial Web interface for submitting work and receiving captions. In addition, an interactive review tool is available in which user corrections are fed back and cause a re-evaluation of the results in real time.
منابع مشابه
Automatic Speech Recognition and Hybrid Machine Translation for High-Quality Closed-Captioning and Subtitling for Video Broadcast
We describe a system to rapidly generate high-quality closed captions and subtitles for live broadcasted TV shows, using automated components, namely Automatic Speech Recognition and Machine Translation. The human stays in the loop for quality assurance and optional postediting. We also describe how the system feeds the human edits and corrections back into the different components for improvem...
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