（KWS-LSTM）Max-pooling loss training of long short-term memory networks for small-footprint KWS

時間 2021-01-08

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會議：2016 IEEE口語技術研討會（SLT）論文：Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting 作者： Ming Ming，Anirudh Raju，George Tucker，Sankaran Panchapagesan，Gengshen F

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1. Sequence Models and Long-Short Term Memory Networks
2. （轉）A Recipe for Training Neural Networks
3. Essentials of Deep Learning : Introduction to Long Short Term Memory
4. Bag of Freebies for Training Object Detection Neural Networks
5. Long Short Term Memory networks(LSTMs)
6. [解讀] You Only Train Once Loss-Conditional Training of Deep Networks
7. NRE論文總結：Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification
8. Domain-Adversarial Training of Neural Networks
9. Bag of Tricks for Convolutional Neural Networks
10. [ACL2016]Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

>>更多相關文章<<