Original paper
A study of continuous space word and sentence representations applied to ASR error detection
Abstract
This paper presents a study of continuous word representations applied to automatic detection of speech recognition errors. A neural network architecture is proposed, which is well suited to handle continuous word representations, like word embeddings. We explore the use of several types of word representations: simple and combined linguistic embeddings, and acoustic ones associated to prosodic features, extracted from the audio signal. To...
Paper Details
Title
A study of continuous space word and sentence representations applied to ASR error detection
Published Date
Jun 1, 2020
Journal
Volume
120
Pages
31 - 41
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