An Efficient Temporal Model for Small-Footprint Keyword Spotting

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC)(2021)

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摘要
Keyword spotting (KWS), as an essential part of human-computer interaction, is widely used in mobile device terminals. However, the hardware resources of these devices are usually limited, so running on these devices requires a small memory footprint. However, previous works still need massive parameters to achieve high performance. In this work, we propose a context-dependent and compact network ...
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关键词
Performance evaluation,Human computer interaction,Error analysis,Delay effects,Neural networks,Memory management,Robustness
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