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@ -54,3 +54,19 @@ We plan to support a variaty of hardwares and platforms, including:
* Android
* Raspberry Pi
## Reference
* Mining Effective Negative Training Samples for Keyword Spotting
([github]( https://github.com/jingyonghou/KWS_Max-pooling_RHE),
[paper](http://lxie.nwpu-aslp.org/papers/2020ICASSP_HJY.pdf))
* Max-pooling Loss Training of Long Short-term Memory Networks for Small-footprint Keyword Spotting
([paper](https://arxiv.org/pdf/1705.02411.pdf))
* A depthwise separable convolutional neural network for keyword spotting on an embedded system
([github](https://github.com/PeterMS123/KWS-DS-CNN-for-embedded),
[paper](https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-020-00176-2.pdf))
* Hello Edge: Keyword Spotting on Microcontrollers
([github](https://arxiv.org/pdf/1711.07128.pdf),
[paper](https://github.com/ARM-software/ML-KWS-for-MCU))
* An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
([github](http://github.com/locuslab/TCN),
[paper](https://arxiv.org/pdf/1803.01271.pdf))