Copingwith channel mismatch in Query-by-Example - But QUESST 2014
Igor Szöke, Miroslav Skácel, Lukás Burget, Jan Cernocký
Abstract
The paper investigates into Query by Example (QbE) - a spoken term detection technique with queries entered by voice. It describes BUT QbE system that achieved the best accuracy in MediaEval QUESST2014 evaluations. This evaluation was challenging because of severe mismatch between queries and utterances, and introduction of new types of queries. The paper provides an analysis of DTW sub-system's in mismatched conditions (especially targeting DTW metrics) and discusses approaches investigated for QUESST2014: generation of calibration side-information by a language identification system, and handling T2 and T3 queries relaxing the constraints of an exact match. All results are provided on QUESST2014 development and evaluation data.
BibTeX
@inproceedings{icassp2015_copingwithchanne,
title = {Copingwith channel mismatch in Query-by-Example - But QUESST 2014},
author = {Igor Szöke and Miroslav Skácel and Lukás Burget and Jan Cernocký},
booktitle = {ICASSP 2015},
year = {2015}
}