AI Practice: Speech Recognition 🎤

Welcome to the Speech Recognition practice section! This guide will help you explore AI-driven speech recognition technologies and their applications. Let's dive in!

📌 What is Speech Recognition?

Speech recognition is the process of converting spoken language into text using machine learning models. It’s widely used in virtual assistants, transcription tools, and more.

🔍 Key Components

• Microphone Input: Captures audio signals
• Signal Processing: Filters and normalizes sound
• Language Models: Interprets audio into meaningful text
• Feedback Loop: Refines accuracy through user corrections

🧠 AI Models for Speech Recognition

Here are some popular AI models and frameworks:

1. Google Speech-to-Text
   • Accurate for multiple languages
   • Integrates with Google Cloud Platform
2. IBM Watson Speech Services
   • Offers real-time transcription
   • Supports custom models
3. Open Source Tools
   • Kaldi
   • DeepSpeech

For hands-on practice, try our Interactive Speech Recognition Demo to test real-time transcription!

📷 Visual Aids

📚 Extend Your Learning

• Explore AI Fundamentals
• Learn about NLP
• Check out Speech Synthesis

Let me know if you'd like to dive deeper into any specific aspect of speech recognition! 💬