Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition

This paper introduces a novel two-stage active learning (AL) pipeline for automatic speech recognition (ASR), combining unsupervised and supervised AL methods. The first stage utilizes unsupervised AL by using x-vectors clustering for diverse sample selection from unlabeled speech data, thus establi...

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Vydané v:	IEEE Transactions on Audio, Speech and Language Processing Ročník 33; s. 1862 - 1876
Hlavní autori:	Kundacina, Ognjen, Vincan, Vladimir, Miskovic, Dragisa
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	Active learning batch active learning Bayes methods Bayesian active learning Data models Deep learning Labeling Pipelines Recording speech recognition Training Tuning Uncertainty x-vectors
ISSN:	2998-4173, 2998-4173
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