A multimedia retrieval system using speech input | Zendy

Andréi Popescu-Belis | Zendy; Peter Poller | Zendy; Jonathan Kilgour | Zendy

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A multimedia retrieval system using speech input

Author(s) -

Andréi Popescu-Belis,

Peter Poller,

Jonathan Kilgour

Publication year - 2009

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/1647314.1647356

Subject(s) - computer science , conversation , set (abstract data type) , multimedia , world wide web , visualization , information retrieval , speech recognition , natural language processing , artificial intelligence , linguistics , philosophy , programming language

The AMIDA Automatic Content Linking Device (ACLD) monitors a conversation using automatic speech recognition (ASR), and uses the detected words to retrieve documents that are of potential use to the participants in the conversation. The document set that is available includes project related documents such as reports, memos or emails, as well as snippets of past meetings that were transcribed using offline ASR. In addition, results of Web searches are also displayed. Several visualisation interfaces are available.

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