全自动中文新闻字幕生成系统的设计与实现

utomatic broadcast news transcription converts speech into text by a large vocabulary continuous speech recognizer (LVCSR). This technique is an important prerequisite to various tasks, e.g., structural segmentation, semantic access and content-based retrieval of broadcast news. In this paper, we develop an automatic caption generator (ACG) for Mandarin broadcast news. The system integrates various functions, i.e., audio extraction from video, audio type classification and segmentation, speaker recognition, LVCSR, caption generation and video control. Experiments show that the system can achieve high speech recognition accuracy. A potential deployment of ACG is to help the hearing impaired and elderly people in enjoying TV programs.