TY  - CONF
ID  - doras16900
UR  - http://dx.doi.org/10.1007/978-3-642-28997-2_15 
A1  - Eskevich, Maria
A1  - Magdy, Walid
A1  - Jones, Gareth J.F.
Y1  - 2012/04/01/
N2  - 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 eectiveness of these new metrics on a retrieval test collection based on the AMI meeting corpus.
PB  - Springer
T3  - Lecture Notes in Computer Science (LNCS)
VL  - 7224
KW  - Speech retrieval; informally structured speech; evaluation metrics
SN  - 978-3-642-28997-2
TI  - New metrics for meaningful evaluation of informally structured speech retrieval
M2  - Barcelona, Spain
AV  - public
T2  - 34th European Conference on Information Retrieval Research,
ER  -