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

9422461诺维克这个探索性研究的小额赠款项目研究扩展了Mosaic超媒体浏览器，通过与具有语音功能的文件和使用这些文件所需的识别系统的远程服务器进行交互，将口语作为输入。调查涉及通过与口语资源的热链接访问实验室服务器中的一组具有语音能力的文档，从而提供单一平台识别器作为潜在的统一试验台，而不是针对各种平台和性能的差异化识别器。口语交互应用程序是为提供最大可移植性的服务器平台开发的。该项目将可访问性扩展到多媒体环境中的浏览，同时作为数据收集和实验工具，并实现了口语界面的有用性。

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.