Raghavendra Reddy Pappagari

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The objective of this work is to explore a novel unsupervised framework, using Restricted Boltzmann machines, for Spoken Word Retrieval (SWR). In the absence of labelled speech data, SWR is typically performed by matching sequence of feature vectors of query and test utterances using dynamic time warping (DTW). In such a scenario, performance of SWR system(More)
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