Effective Combination of DenseNet and BiLSTM for Keyword Spotting
Keyword spotting (KWS) is a major component of human-computer interaction for smart on-device terminals and service robots, the purpose of which is to maximize the detection accuracy while keeping footprint size small. In this paper, based on the powerful ability of DenseNet on extracting local feat...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2019-01-01
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| Edice: | IEEE Access |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/8607038/ |
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