논문 ID: publication/2928468
IIIT-H System for MediaEval 2014 QUESST
원문 초록
This paper describes the experiments and observations for Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014. In this paper, we describe two different representations of speech that were explored for the task. We also show the capabilities and limitations of non-segmental dynamic time warping (NS-DTW) technique for searching various types of queries. This paper mainly focuses on the experiments and analysis of the existing NS-DTW algorithm for various types of queries. The observations show that for a specific representation of speech, the algorithm is capable of detecting partial matches
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TACos: Learning Temporally Structured Embeddings for Few-Shot Keyword Spotting with Dynamic Time Warping
Assessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
GLAP: General contrastive audio-text pretraining across domains and languages
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