Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Investigating the Global Semantic Impact of Speech Recognition Error on Spoken Content Collections
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A multimedia retrieval system using speech input
Proceedings of the 2009 international conference on Multimodal interfaces
Search of spoken documents retrieves well recognized transcripts
ECIR'07 Proceedings of the 29th European conference on IR research
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Increasing amounts of informal spoken content are being collected. This material does not have clearly defined document forms either in terms of structure or topical content, e.g. recordings of meetings, lectures and personal data sources. Automated search of this content poses challenges beyond retrieval of defined documents, including definition of search items and location of relevant content within them. While most existing work on speech search focused on clearly defined document units, in this paper we describe our initial investigation into search of meeting content using the AMI meeting collection. Manual and automated transcripts of meetings are first automatically segmented into topical units. A known-item search task is then performed using presentation slides from the meetings as search queries to locate relevant sections of the meetings. Query slides were selected corresponding to well recognised and poorly recognised spoken content, and randomly selected slides. Experimental results show that relevant items can be located with reasonable accuracy using a standard information retrieval approach, and that there is a clear relationship between automatic transcription accuracy and retrieval effectiveness.