Sean Colbath

Integrated technologies for indexing spoken language

because it is impossible to efficiently locate information in large audio archives. By itself, speech does not permit content-based searches for information like those commonly employed for text documents over the Internet. But now, after more than a decade of steady advances in speech recognition, speaker identification, and language understanding, it is possible to begin building usable automatic content-based indexing tools for spoken language by integrating these emerging technologies. Once these tools become Integrated Technologies FOR Indexing Spoken Language

Rough'n'Ready: a meeting recorder and browser

Abstract : The objective of this effort is to integrate and enhance existing technologies in speech recognition, speaker identification, and topic classification to provide cost-effective transcription, structural summarization, and retrieval of user-specified aspects of meetings. A software system consisting of a meeting recorder and browser was designed and developed to provide a higher level view of collaborative meetings, co-locational or distributed and a way to browse through and listen to those parts which are most relevant to the user.

Spoken documents: creating searchable archives from continuous audio

Current search technologies for audio rely on the cataloguer of the data to provide additional keywords or metadata to enable retrieval. This can lead to haphazard cataloging and misleading searches, and provides the end user with no summarization, editing, or information extraction capabilities. One obvious way to tackle this problem is to transcribe the speech-based audio using automatic speech recognition technology.

TAP-XL: an automated analyst's assistant

The TAP-XL Automated Analysts Assistant is an application designed to help an English-speaking analyst write a topical report, culling information from a large inflow of multilingual, multimedia data. It gives users the ability to spend their time finding more data relevant to their task, and gives them translingual reach into other languages by leveraging human language technology.