Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition

Ling Shaoshi
Ling Shaoshi
Salazar Julian
Salazar Julian

ICASSP, pp. 6429-6433, 2019.

EI
Other Links: arxiv.org|academic.microsoft.com|dblp.uni-trier.de

Abstract:

We propose a novel approach to semi-supervised automatic speech recognition (ASR). We first exploit a large amount of unlabeled audio data via representation learning, where we reconstruct a temporal slice of filterbank features from past and future context frames. The resulting deep contextualized acoustic representations (DeCoAR) are ...More

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