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3 months ago

ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST)

{Emilio Sanchis Lluís-F. Hurtado Marcos Calvo Sergio Laguna}

ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST)

Abstract

n this paper, we present the systems that the Natural Language Engineering and Pattern Recognition group (ELiRF) has submitted to the MediaEval 2015 Query by Example Search on Speech Task. All of them are based on a Subsequence Dynamic Time Warping algorithm. The systems use information from outside the task (low-resources systems).

Benchmarks

BenchmarkMethodologyMetrics
keyword-spotting-on-quesstELiRF SDTW (dev)
ATWV: 0.1404
Cnxe: 1.0701
MTWV: 0.1493
MinCnxe: 0.8702
keyword-spotting-on-quesstELiRF SDTW-avg (dev)
ATWV: 0.1446
Cnxe: 1.0651
MTWV: 0.1543
MinCnxe: 0.8677
keyword-spotting-on-quesstELiRF SDTW-avg (eval)
ATWV: 0.1125
Cnxe: 1.0731
MTWV: 0.1181
MinCnxe: 0.8751
keyword-spotting-on-quesstELiRF SDTW (eval)
ATWV: 0.0449
Cnxe: 1.1879
MTWV: 0.0581
MinCnxe: 0.9338

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ELiRF at MediaEval 2015: Query by Example Search on Speech Task (QUESST) | Papers | HyperAI