Word-level Speech Recognition with a Dynamic Lexicon

CoRR, 2019.

Cited by: 2|Views65
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Abstract:

We propose a direct-to-word sequence model with a dynamic lexicon. Our word network constructs word embeddings dynamically from the character level tokens. The word network can be integrated seamlessly with arbitrary sequence models including Connectionist Temporal Classification and encoder-decoder models with attention. Sub-word units...More

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