From 4a3fd2cd01d7e6f6337f86509c89a17774dee600 Mon Sep 17 00:00:00 2001 From: Binbin Zhang Date: Tue, 30 Nov 2021 17:52:52 +0800 Subject: [PATCH] [doc] refine format --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 7986afd..aaf97bc 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 +* 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 + [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 + [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 + [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) + [paper](https://arxiv.org/pdf/1803.01271.pdf))