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New Metrics for Meaningful Evaluation of Informally Structured Speech Retrieval

  • Maria Eskevich
  • Walid Magdy
  • Gareth J. F. Jones
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7224)

Abstract

Search effectiveness for tasks where the retrieval units are clearly defined documents is generally evaluated using standard measures such as mean average precision (MAP). However, many practical speech search tasks focus on content within large spoken files lacking defined structure. These data must be segmented into smaller units for search which may only partially overlap with relevant material. We introduce two new metrics for the evaluation of search effectiveness for informally structured speech data: mean average segment precision (MASP) which measures retrieval performance in terms of both content segmentation and ranking with respect to relevance; and mean average segment distance-weighted precision (MASDWP) which takes into account the distance between the start of the relevant segment and the retrieved segment. We demonstrate the effectiveness of these new metrics on a retrieval test collection based on the AMI meeting corpus.

Keywords

Speech retrieval informally structured speech evaluation metrics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Maria Eskevich
    • 1
  • Walid Magdy
    • 2
  • Gareth J. F. Jones
    • 1
    • 2
  1. 1.Centre for Digital Video Processing, School of ComputingDublin City UniversityDublinIreland
  2. 2.Centre for Next Generation Localisation, School of ComputingDublin City UniversityDublinIreland

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