From 9d37106a4e7ae3a741f312579cb129f98f6f414f Mon Sep 17 00:00:00 2001 From: Binbin Zhang Date: Tue, 30 Nov 2021 17:55:52 +0800 Subject: [PATCH] [doc] refine format --- README.md | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/README.md b/README.md index aaf97bc..ae810da 100644 --- a/README.md +++ b/README.md @@ -56,17 +56,17 @@ We plan to support a variaty of hardwares and platforms, including: ## Reference -* Mining Effective Negative Training Samples for Keyword Spotting( - [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)) -* 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)) +* Mining Effective Negative Training Samples for Keyword Spotting + ([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)) +* 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))