Title :
Spoken documents: creating searchable archives from continuous audio
Author :
Colbath, Sean ; Kubala, Francis ; Liu, Daben ; Srivastava, Amit
Author_Institution :
BNN Technol., GTE Corp., Cambridge, MA, USA
Abstract :
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.
Keywords :
information retrieval; speech recognition; automatic speech recognition technology; continuous audio; information extraction; searchable archives; speech-based audio; spoken documents; Indexing; Information retrieval; Layout; Seminars; Speech processing; Speech recognition; Streaming media; Teleconferencing; Telephony; Videoconference;
Conference_Titel :
System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on
Print_ISBN :
0-7695-0493-0
DOI :
10.1109/HICSS.2000.926688
