SpeechSkimmer: a system for interactively skimming recorded speech
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on speech as data
Variations in relevance judgments and the measurement of retrieval effectiveness
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Supporting access to large digital oral history archives
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Using graded relevance assessments in IR evaluation
Journal of the American Society for Information Science and Technology
Information retrieval test collection for searching spontaneous Czech speech
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
ACM Transactions on Speech and Language Processing (TSLP)
New metrics for meaningful evaluation of informally structured speech retrieval
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
Overview of the CLEF-2006 cross-language speech retrieval track
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Benefit of proper language processing for Czech speech retrieval in the CL-SR task at CLEF 2006
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Penalty functions for evaluation measures of unsegmented speech retrieval
CLEF'12 Proceedings of the Third international conference on Information Access Evaluation: multilinguality, multimodality, and visual analytics
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Early speech retrieval experiments focused on news broadcasts, for which adequate Automatic Speech Recognition (ASR) accuracy could be obtained. Like newspapers, news broadcasts are a manually selected and arranged set of stories. Evaluation designs reflected that, using known story boundaries as a basis for evaluation. Substantial advances in ASR accuracy now make it possible to build search systems for some types of spontaneous conversational speech, but present evaluation designs continue to rely on known topic boundaries that are no longer well matched to the nature of the materials. We propose a new class of measures for speech retrieval based on manual annotation of points at which a user with specific topical interests would wish replay to begin.