Welcome to the voice recognition tutorial for the AI Kit! This guide will walk you through the essentials of implementing speech-to-text functionality using our tools. Let's get started!

Getting Started

  1. Install the SDK
    Begin by installing the AI Kit SDK via npm: 

    npm install @ai-kit/sdk
    SDK Installation

  2. Configure Your Environment
    Set up the required environment variables and dependencies.

    Environment Setup

  3. Process Audio Files
    Convert raw audio inputs into text using the SpeechToText class. 

    const stt = new SpeechToText();
const result = await stt.process('your_audio_file.wav');
console.log(result.text);
    Audio Processing

Implementation Steps

  • Preprocessing
    Clean and normalize audio data before feeding it into the model.

    Preprocessing Flow

  • Model Training
    Use our pre-built models or customize them for specific use cases.

    Training Process

  • Deploy Your Application
    Integrate the trained model into your project and test real-time recognition.
    Learn more about deployment here

Best Practices

  • 📌 Use high-quality microphones for better accuracy

    Microphone Quality

  • 🧠 Optimize model parameters based on your use case

  • 🔄 Test with diverse accents and background noises

  • 📚 Explore advanced features in our Speech-to-Text Documentation

For deeper insights, check out our AI Kit Developer Guide to understand the architecture and additional use cases! 🚀