A lightweight convolutional neural network for KWS
Keyword spotting has been widely used in smart homes and mobile devices, where the goal is to achieve high accuracy with low latency and small computational effort. Convolutional neural networks are not only performed well in extracting speech features, but also show good robustness in the face of n...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158686 |