Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model
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EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP2021
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In this paper, we explore various approaches for semi-
supervised learning in an end-to-end automatic speech recog-
nition (ASR) framework. The first step in our approach in-
volves training a seed model on the limited amount of labelled
data. Additional u ...
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