Spoken-Language Access to Multimedia (SLAM): A Multimodal Interface to the World-Wide Web

多媒体口语访问 (SLAM)：万维网的多模式接口

• 批准号: 9422461
• 负责人: David Novick
• 金额: $ 4.48万
• 依托单位: Oregon Graduate Institute of Science & Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-10-01 至 1995-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9422461&HistoricalAwards=false
• 关键词: Spoken; Language; Access; Multimedia; SLAM

9422461 Novick This Small Grant for Exploratory Research (SGER) project investigates extending the Mosaic hypermedia browser to include spoken language as an input via interaction with a remote server with speech-capable documents and the recognition systems needed for their use. The investigation involves the access to a set of speech-capable documents in a server in the laboratory via hot-links with spoken language resources, thus providing a single platform recognizer as a potential uniform test-bed rather than differentiated recognizers for a variety of platforms and performances. Spoken language interactive applications are developed for server platforms providing maximum transportability. The project extends the accessibility to browsing in a multimedia environment while serving as a data collection and experimentation tool as well as a realization of the usefulness of spoken language interfaces.

小行星9422461 这个探索性研究（SGER）项目的小额赠款研究扩展马赛克超媒体浏览器，通过与具有语音功能的文档和使用所需的识别系统的远程服务器进行交互，将口语作为输入。 调查涉及到一组语音功能的文件，在实验室的服务器通过热链接与口语资源，从而提供一个单一的平台识别器作为一个潜在的统一的测试床，而不是不同的识别器的各种平台和性能。 口语交互式应用程序是为提供最大可移植性的服务器平台开发的。 该项目扩大了在多媒体环境中浏览的可访问性，同时作为数据收集和实验工具，以及实现口语界面的有用性。