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C++ based example console application that consumes KaldiService REST API functions for processing audio files and performing speech recognition.

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mvshyvk/SpeechRecognitionTest

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C++ KaldiService REST API client

Console client application uses Kaldi Service REST API for speech recognition (KaldiService REST API repo: https://github.com/mvshyvk/KaldiService).

Overview

This API client was generated by the OpenAPI Generator project. By using the OpenAPI spec from a remote server, you can easily generate an API client. OpenAPI specification: https://app.swaggerhub.com/apis/mvshyvk/Kaldi_Speech_Recognition/0.9.0

Installation

Prerequisites

Install cpprestsdk.

  • Windows: vcpkg install cpprestsdk cpprestsdk:x64-windows boost-uuid boost-uuid:x64-windows
  • Mac: brew install cpprestsdk
  • Linux: sudo apt-get install libcpprest-dev

Build

cmake -DCPPREST_ROOT=/usr -DCMAKE_CXX_FLAGS="-I/usr/local/opt/openssl/include" -DCMAKE_MODULE_LINKER_FLAGS="-L/usr/local/opt/openssl/lib"
make

Build on Windows with Visual Studio (VS2017)

  • Right click on folder containing source code
  • Select 'Open in visual studio'
  • Once visual studio opens, CMake should show up in top menu bar.
  • Select CMake > Build All.

*Note: If the CMake menu item doesn't show up in Visual Studio, CMake for Visual Studio must be installed. In this case, open the 'Visual Studio Installer' application. Select 'modify' Visual Studio 2017. Make sure 'Desktop Development with C++' is installed, and specifically that 'Visual C++ tools for CMake' is selected in the 'Installation Details' section.

Also be sure to review the CMakeLists.txt file. Edits are likely required.*

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C++ based example console application that consumes KaldiService REST API functions for processing audio files and performing speech recognition.

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