Installation Guide
Last updated June 30, 2023
Welcome to Speechly! This guide will walk you through the process of installing and setting up the Speechly software development kit (SDK) in your project. By following these steps, you'll be able to integrate Speechly into your applications and start utilizing speech recognition and natural language understanding capabilities.
Step-by-Step Guide:
- Prerequisites:
- Make sure you have a compatible development environment set up on your machine (e.g., Node.js, Python, etc.).
- Ensure that you have a Speechly account and API credentials (refer to the "Account Setup Guide" for more information).
- Choose the SDK:
- Select the SDK that matches your development platform and programming language (e.g., Speechly JavaScript SDK for web applications).
- Visit the Speechly documentation (link: [Documentation URL]) to explore the available SDK options.
- Install the SDK:
- Follow the installation instructions specific to your chosen SDK.
- Use package managers like npm or pip to install the required dependencies.
- Configure your project to include the necessary SDK libraries.
- Integrate the SDK into Your Project:
- Import or require the Speechly SDK in your application code.
- Initialize the SDK with your API credentials obtained from your Speechly account.
- Follow the SDK documentation to set up listeners and handle speech recognition events.
- Testing and Verification:
- Run your application and ensure that the Speechly SDK integration is successful.
- Test the speech recognition and natural language understanding functionality by speaking commands or phrases defined in your application.
- Customization and Advanced Features:
- Explore the advanced features offered by the Speechly SDK, such as defining custom language models, handling multi-language support, or configuring speech context parameters.
- Refer to the documentation and code examples for detailed instructions on utilizing these features.
Congratulations! You have successfully installed and set up the Speechly SDK in your project. You can now start implementing speech recognition and natural language understanding capabilities into your applications.
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