REAL-TIME CAPTIONING WITH AUTOMATED SPEECH RECOGNITION

具有自动语音识别功能的实时字幕

• 批准号: 2792620
• 负责人: Farzad Ehsani
• 金额: $ 9.98万
• 依托单位: FLUENTIAL, INC.
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 1999-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2792620
• 关键词: biomedical equipment development; clinical biomedical equipment; hearing disorders; speech recognition; television

DESCRIPTION: The project will study the feasibility of using ASR in real- time captioning services for the hearing impaired. A prototype system will be developed for captioning live broadcasts using speech shadowing by an operator whose speech is then recognized and used to generate television captions. Shadow captioning can be performed on speaker-adapted recognizers which have relatively low error rates. To evaluate the system, its output will be compared to that of commercial stenocaptioning technology. The objective of Phase I is to establish shadow captioning as a competitive alternative to stenocaptioning. In Phase II, a fully developed prototype will be evaluated under field conditions. Long-term project goals include the production and commercialization of affordable, PC-based speech recognition systems that can be purchased and operated by television program producers at a fraction of current captioning costs. PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE

描述：该项目将研究ASR在实际应用中的可行性。 为听障人士提供的时间字幕服务。一个原型系统将 开发用于使用语音阴影为现场广播添加字幕的 操作员，其语音随后被识别并用于产生电视 标题。可以在说话者适配的设备上执行阴影字幕 错误率相对较低的识别器。为了评估该系统， 它的输出将与商业速录进行比较 技术第一阶段的目标是将阴影字幕设置为 比速录更具竞争力的替代方案。在第二阶段，一个完整的 研制的样机将在现场条件下进行评估。长期的 项目目标包括生产和商业化负担得起的 基于PC的语音识别系统，可以购买和运营 电视节目制作人的成本只有目前字幕成本的一小部分。 建议的商业应用：不可用