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Fixing other broking links in readmes.
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dzakhar committed Jan 19, 2022
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6 changes: 3 additions & 3 deletions README.md
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embARC Machine Learning Inference Library
==================================================

This repository contains source code of embARC Machine Learning Inference Library (embARC MLI Library),
This repository contains source code of embARC Machine Learning Inference Library (embARC MLI Library),
documentation and examples.

## Release notes
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## Documentation
----------------
The pre-built documentation can be found on the [release page](https://github.com/foss-for-synopsys-dwc-arc-processors/embarc_mli/releases)
The pre-built documentation can be found on the [release page](https://github.com/foss-for-synopsys-dwc-arc-processors/embarc_mli/releases/tag/Release_1.1.1)
in the assets list of the required embARC MLI library version. To use it download
*embARC_MLI_\<version\>_API_Doc.zip* file, unzip the archive and
open `<unzipped_archive_root>/html/index.html` file in a browser.
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EM or HS configuration.

Build requirements:
1. The library has been tested with MetaWare Development tools 2019.12
1. The library has been tested with MetaWare Development tools 2021.12

Building of embARC MLI library
1. Open command line and change working directory to './lib/make/'
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4 changes: 2 additions & 2 deletions examples/example_cifar10_caffe/README.md
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Expand Up @@ -36,7 +36,7 @@ Here we will consider building for [/hw/em9d.tcf](/hw/em9d.tcf) template. This t

### Build with ARC GNU toolchain

Here we will consider building with ARC GNU toolchain. As a platform for the assembly, we use the [IoT Devkit](https://embarc.org/embarc_osp/doc/build/html/board/iotdk.html) from [the embARC Open Software Platform (OSP)](https://embarc.org/embarc_osp/doc/build/html/introduction/introduction.html#)
Here we will consider building with ARC GNU toolchain. As a platform for the assembly, we use the [IoT Devkit](https://embarc.org/project/arc-iot-development-kit/) from [the embARC Open Software Platform (OSP)](https://embarc.org/project/embarc-open-software-platform-osp/)

Build requirements:
- ARC GNU toolchain version 2018.09 or higher
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### Run example without MetaWare Development tools

See documentation on [IoT Devkit](https://embarc.org/embarc_osp/doc/build/html/board/iotdk.html) on how to run executable built with [ARC GNU](https://embarc.org/toolchain/index.html) and [ARC open source development tools](https://embarc.org/embarc_osp/doc/build/html/index.html) on IoT Devkit.
See documentation on [IoT Devkit](https://embarc.org/project/arc-iot-development-kit/) on how to run executable built with [ARC GNU](https://github.com/foss-for-synopsys-dwc-arc-processors/toolchain) and [ARC open source development tools](https://embarc.org/project/embarc-open-software-platform-osp/) on IoT Devkit.


Example Structure
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Expand Up @@ -54,7 +54,7 @@ Application will create `result.bmp` file in the working directory. It's a 'gray

### Build with ARC GNU toolchain

Here we will consider building with ARC GNU toolchain. As a platform for the assembly, we use the [IoT Devkit](https://embarc.org/embarc_osp/doc/build/html/board/iotdk.html) from [the embARC Open Software Platform (OSP)](https://embarc.org/embarc_osp/doc/build/html/introduction/introduction.html#)
Here we will consider building with ARC GNU toolchain. As a platform for the assembly, we use the [IoT Devkit](https://embarc.org/project/arc-iot-development-kit/) from [the embARC Open Software Platform (OSP)](https://embarc.org/project/embarc-open-software-platform-osp/)

Build requirements:
- ARC GNU toolchain version 2018.09 or higher
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### Run example without MetaWare Development tools

See documentation on [IoT Devkit](https://embarc.org/embarc_osp/doc/build/html/board/iotdk.html) on how to run executable built with [ARC GNU](https://embarc.org/toolchain/index.html) and [ARC open source development tools](https://embarc.org/embarc_osp/doc/build/html/index.html) on IoT Devkit.
See documentation on [IoT Devkit](https://embarc.org/project/arc-iot-development-kit/) on how to run executable built with [ARC GNU](https://github.com/foss-for-synopsys-dwc-arc-processors/toolchain) and [ARC open source development tools](https://embarc.org/project/embarc-open-software-platform-osp/) on IoT Devkit.

Example Structure
--------------------
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4 changes: 2 additions & 2 deletions examples/example_har_smartphone/README.md
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Expand Up @@ -41,7 +41,7 @@ Here we will consider building for [/hw/em9d.tcf](/hw/em9d.tcf) template. This t

### Build with ARC GNU toolchain

Here we will consider building with ARC GNU toolchain. As a platform for the assembly, we use the [IoT Devkit](https://embarc.org/embarc_osp/doc/build/html/board/iotdk.html) from [the embARC Open Software Platform (OSP)](https://embarc.org/embarc_osp/doc/build/html/introduction/introduction.html#)
Here we will consider building with ARC GNU toolchain. As a platform for the assembly, we use the [IoT Devkit](https://embarc.org/project/arc-iot-development-kit/) from [the embARC Open Software Platform (OSP)](https://embarc.org/project/embarc-open-software-platform-osp/)

Build requirements:
- ARC GNU toolchain version 2018.09 or higher
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### Run example without MetaWare Development tools

See documentation on [IoT Devkit](https://embarc.org/embarc_osp/doc/build/html/board/iotdk.html) on how to run executable built with [ARC GNU](https://embarc.org/toolchain/index.html) and [ARC open source development tools](https://embarc.org/embarc_osp/doc/build/html/index.html) on IoT Devkit.
See documentation on [IoT Devkit](https://embarc.org/project/arc-iot-development-kit/) on how to run executable built with [ARC GNU](https://github.com/foss-for-synopsys-dwc-arc-processors/toolchain) and [ARC open source development tools](https://embarc.org/project/embarc-open-software-platform-osp/) on IoT Devkit.


Example Structure
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Key Word Spotting Example
==============================================
Example shows implementation of small speech recognition use case for Key Word Spotting (KWS). [TensorFlow speech commands tutorial](https://www.tensorflow.org/tutorials/sequences/audio_recognition) was used as basis for neural network model training with the following most notable changes:
Example shows implementation of small speech recognition use case for Key Word Spotting (KWS). [TensorFlow speech commands tutorial](https://www.tensorflow.org/tutorials/audio/simple_audio) was used as basis for neural network model training with the following most notable changes:
1) Input features: FBANK features instead of MFCC
2) Model architecture: Depthwise separable convolutions + LSTM Cell.
KWS Modules are designed to process audio stream. The rest example code wraps modules to process single WAV file and output performance measurements.
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References
----------------------------
Simple Audio Recognition Tutorial:
> TensorFlow - Simple Audio Recognition. https://www.tensorflow.org/tutorials/sequences/audio_recognition
> TensorFlow - Simple Audio Recognition. https://www.tensorflow.org/tutorials/audio/simple_audio
Speech commands dataset:
> Pete Warden. Speech commands: A dataset for limited-vocabulary speech recognition. arXiv preprint arXiv:1804.03209, 2018
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