Semi-Supervised Keyword Spotting in Arabic Speech Using Self-Training Ensembles

Abstract

Arabic speech recognition suffers from the scarcity of properly labeled data. In this project, we introduce a pipeline that performs semi-supervised segmentation of audio then— after hand-labeling a small dataset—feeds labeled segments to a supervised learning framework to select, through many rounds of hyperparameter optimization, an ensemble of models to… (More)

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