AI Voice Chat

An interactive voice chat application that enables real-time conversations with an AI assistant using OpenAI's APIs. The application supports voice input, text processing, and voice output, creating a natural conversation flow with the AI.

Features

• 🎤 Real-time voice recording
• 🔄 Speech-to-text conversion using OpenAI's Whisper API
• 💭 AI-powered responses using GPT-3.5 Turbo
• 🔊 Text-to-speech output using OpenAI's TTS API
• 💾 Conversation history tracking
• ⌨️ Simple keyboard controls

Prerequisites

• Node.js (v14 or higher)
• FFmpeg
• OpenAI API key
• Working microphone and speakers

Installation

1. Clone the repository:

git clone <repository-url>
cd ai-voice-chat

2. Install dependencies:

npm install

3. Create a .env file based on .env.example:

cp .env.example .env

4. Add your OpenAI API key to the .env file:

OPENAI_API_KEY=your_openai_api_key_here

Usage

1. Start the application:

node ttsChat.js

or

OPENAI_API_KEY=your_openai_api_key_here node ttsChat.js

2. Controls:

• Press Enter to start recording
• Press Enter again to stop recording and process your message
• Press any other key to exit
• Use Ctrl+C to force quit

Dependencies

• node-microphone: For audio input
• fluent-ffmpeg: For audio processing
• ffmpeg-static: FFmpeg binaries
• axios: For API requests
• speaker: For audio output
• openai: OpenAI API client
• dotenv: Environment variable management
• form-data: For handling multipart form data

Configuration

The application uses several configurable parameters:

• Voice Settings:
  • Default voice: "echo"
  • TTS model: "tts-1"
• Chat Model: GPT-3.5 Turbo
• Audio Settings:
  • Channels: 2 (Stereo)
  • Bit Depth: 16
  • Sample Rate: 44100 Hz

Limitations

• Audio file size limit: 25MB for Whisper API
• Requires a stable internet connection
• OpenAI API usage is subject to API pricing

Error Handling

The application includes error handling for:

• Microphone recording issues
• API communication errors
• Audio processing problems

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request