AI/wekws
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[doc] refine format

Browse Source
This commit is contained in:
Binbin Zhang 2021-11-30 17:52:52 +08:00
parent 29fcc31b82
commit 4a3fd2cd01
1 changed files with 10 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
README.md
View File

@ -56,17 +56,17 @@ We plan to support a variaty of hardwares and platforms, including:
## Reference ## Reference
* Mining Effective Negative Training Samples for Keyword Spotting * Mining Effective Negative Training Samples for Keyword Spotting(
[github]( https://github.com/jingyonghou/KWS_Max-pooling_RHE), [github]( https://github.com/jingyonghou/KWS_Max-pooling_RHE),
[paper](https://www.microsoft.com/en-us/research/uploads/prod/2020/04/ICASSP2020_Max_pooling_KWS.pdf) [paper](https://www.microsoft.com/en-us/research/uploads/prod/2020/04/ICASSP2020_Max_pooling_KWS.pdf))
* Max-pooling Loss Training of Long Short-term Memory Networks for Small-footprint Keyword Spotting * Max-pooling Loss Training of Long Short-term Memory Networks for Small-footprint Keyword Spotting(
[paper](https://arxiv.org/pdf/1705.02411.pdf) [paper](https://arxiv.org/pdf/1705.02411.pdf))
* A depthwise separable convolutional neural network for keyword spotting on an embedded system * A depthwise separable convolutional neural network for keyword spotting on an embedded system(
[github](https://github.com/PeterMS123/KWS-DS-CNN-for-embedded), [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) [paper](https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-020-00176-2.pdf))
* Hello Edge: Keyword Spotting on Microcontrollers * Hello Edge: Keyword Spotting on Microcontrollers(
[github](https://arxiv.org/pdf/1711.07128.pdf), [github](https://arxiv.org/pdf/1711.07128.pdf),
[paper](https://github.com/ARM-software/ML-KWS-for-MCU) [paper](https://github.com/ARM-software/ML-KWS-for-MCU))
* An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling * An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling(
[github](http://github.com/locuslab/TCN), [github](http://github.com/locuslab/TCN),
[paper](https://arxiv.org/pdf/1803.01271.pdf) [paper](https://arxiv.org/pdf/1803.01271.pdf))