ELiRF at MediaEval 2014: Query by Example Search on Speech Task (QUESST)

16 Oct 2014  ·  Marcos Calvo, Mayte Giménez, Lluís-F. Hurtado, Emilio Sanchis, Jon A. Gómez ·

In this paper, we present the systems that the Natural Language Engineering and Pattern Recognition group (ELiRF) has submitted to the MediaEval 2014 Query by Example Search on Speech task. All of them are based on a Subsequence Dynamic Time Warping algorithm and do not use any other information from outside the task (zero-resources systems).



  Add Datasets introduced or used in this paper

Results from the Paper

Task Dataset Model Metric Name Metric Value Global Rank Benchmark
Keyword Spotting QUESST ELiRF Fusion+Length(All Queries) Cnxe 0.6023 # 1
MinCnxe 0.5977 # 6
ATWV 0.3792 # 5
MTWV 0.3801 # 6
Keyword Spotting QUESST ELiRF Fusion(All Queries) Cnxe 0.6125 # 2
MinCnxe 0.6062 # 7
ATWV 0.3896 # 4
MTWV 0.3952 # 5


No methods listed for this paper. Add relevant methods here