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To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement
We show that existing deep keyword spotting mechanisms can be improved by Successive Refinement, where the system first classifies whether the input audio is speech or not, followed by whether the input is keyword-like or not, and finally classifies which keyword was uttered.
Beam Search with Bidirectional Strategies for Neural Response Generation
Sequence-to-sequence neural networks have been widely used in language-based applications as they have flexible capabilities to learn various language models.
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