NTU System at MediaEval 2015: Zero Resource Query by Example Spoken Term Detection Using Deep and Recurrent Neural Networks

Abstract

This note serves as a documentation describing the methods the authors of this paper implemented for the Query by Example Search on Speech Task (QUESST) as a part of MediaEval 2015. In this work, we combined DTW, DNN and RNN in one framework to perform query by example spoken term detection in a zero resource setting.

Tasks

Reproductions