Real-time live broadcast news subtitling system for Spanish

Subtitling of live broadcast news is a very important application to meet the needs of deaf and hard of hearing people. However, live subtitling is a high cost operation in terms of qualification human resources and thus, money if high precision is desired. Automatic Speech Recognition researchers can help to perform this task saving both time and money developing systems that delivers subtitles fully synchronized with speech without human assistance. In this paper we present a real-time system for automatic subtitling of live broadcast news in Spanish based on the News Redaction Computer texts and an Automatic Speech Recognition engine to provide precise temporal alignment of speech to text scripts with negligible latency. The presented system is working satisfactory on the Aragonese Public Television from June 2008 without human assistance.