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Update docs for speech libs and demos (#2518)

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Denis Orlov 2020-10-02 18:00:20 +03:00 committed by GitHub
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inference-engine/samples/speech_libs_and_demos/Speech_libs_and_demos.md
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# Speech Library and Speech Recognition Demos {#openvino_inference_engine_samples_speech_libs_and_demos_Speech_libs_and_demos}
Starting with the 2020.1 release, OpenVINO™ provides a set of libraries and demos to demonstrate end-to-end
speech recognition, as well as new acoustic and language models that can work with these demos.
Intel® distributions of OpenVINO™ toolkit for Linux* OS and Windows* OS provide a set of libraries and demos to
demonstrate end-to-end speech recognition, as well as new acoustic and language models that can work with these demos.
The libraries are designed for preprocessing (feature extraction) to get a feature vector from a speech signal, as well
as postprocessing (decoding) to produce text from scores. Together with OpenVINO™-based neural-network speech recognition,
these libraries provide an end-to-end pipeline converting speech to text. This pipeline is demonstrated by the
@ -38,7 +38,7 @@ Additionally, [new acoustic and language models](http://download.01.org/opencv/2
To download pretrained models and build all dependencies:
* On Linux* OS or macOS*, use the shell script `<INSTALL_DIR>/deployment_tools/demo/demo_speech_recognition.sh`
* On Linux* OS, use the shell script `<INSTALL_DIR>/deployment_tools/demo/demo_speech_recognition.sh`
* On Windows* OS, use the batch file `<INSTALL_DIR>\deployment_tools\demo\demo_speech_recognition.bat`
@ -51,7 +51,7 @@ The script follows the steps below:
If you are behind a proxy, set the following environment variables in a console session before running the script:
* On Linux* OS and macOS*:
* On Linux* OS:
```sh
export http_proxy=http://{proxyHost}:{proxyPort}