A Time Delay Neural Network with Shared Weight Self-Attention for Small-Footprint Keyword Spotting淺析
文章：A Time Delay Neural Network with Shared Weight Self-Attention for Small-Footprint Keyword Spotting 中心思想：通過共享自注意力機制的權重，在維持性能不變的情況下，減少模型參數 本文的創新點：一是，用前饋神經網絡代替在注意力機制中常用的迴歸神經網絡，加速模型計算；二是，自注意力機制中的三個矩陣進行
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相關文章
- 1. Signature Verification using a Siamese Time Delay Neural Network
- 2. 743-Network Delay Time
- 3. Time-Delay Neural Network(TDNN)-上
- 4. （IS 15）Convolutional Neural Networks for Small-footprint Keyword Spotting
- 5. 743. Network Delay Time
- 6. [Week 4] LeetCode 743. Network Delay Time
- 7. Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
- 8. (IC19)Federated Learning for Keyword Spotting
- 9. leetcode [Graph] No.743 Network Delay Time
- 10. Logistic-Regression-with-a-Neural-Network-mindset