(IC19)Federated Learning for Keyword Spotting
会议： ICASSP 2019 论文：Federated Learning for Keyword Spotting 作者：David Leroy、Alice Coucke、Thibaut Lavril、Thibault Gisselbrecht、Joseph Dureau ABSTRACT 提出了一种基于联合学习的实用方法，以通过连续运行基于嵌入式语音的模型（例如唤醒词检测器）来解决域外问题。我
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相关文章
- 1. （IS 15）Convolutional Neural Networks for Small-footprint Keyword Spotting
- 2. 语音唤醒技术：small-footprint keyword spotting
- 3. Small-Footprint Open-Vocabulary Keyword Spotting with Quantized LSTM Networks
- 4. （KWS-DNN）Small-footprint keyword spotting using deep neural networks
- 5. 论文翻译：Convolutional Neural Networks for Small-footprint Keyword Spotting
- 6. （IS 19）Feature exploration for almost zero-resource ASR-free keyword spotting using a multilingual b
- 7. （IS 19）Binary Speech Features for Keyword Spotting Tasks Alexandre Riviello, Jean-Pierre David（重点）
- 8. SMALL-FOOTPRINT KEYWORD SPOTTING ON RAW AUDIO DATA WITHSINC-CONVOLUTIONS
- 9. SMALL-FOOTPRINT KEYWORD SPOTTING USING DEEP NEURAL NETWORKS学习摘要
- 10. A Time Delay Neural Network with Shared Weight Self-Attention for Small-Footprint Keyword Spotting浅析