A survey on structured discriminative spoken keyword spotting

摘要

Spoken keyword spotting refers to the detection of all occurrences of desired words in continuous speech utterances. This paper includes a comprehensive review on various spoken keyword spotting (especially discriminative spoken keyword spotting) approaches. The most common datasets and evaluation measures for training and evaluating the spoken keyword spotting systems are reviewed in this paper. Moreover, the main framework for structured discriminative spoken keyword spotting (SDKWS) is presented. Different parts of the SDKWS framework such as feature extraction, model training, search algorithm and thresholding are discussed in this paper. Finally, the paper is concluded in the conclusion section and the future works are presented in the last part of that section.