Voice Conversational Agent
An intelligent voice-based conversational AI agent that listens, understands, and responds in real time — powered by speech recognition, natural language understanding (NLU), and text-to-speech (TTS) technologies.
🚀 Features
🎧 Speech-to-Text (STT): Converts spoken input into text using models like OpenAI Whisper, Google Speech API, or Vosk.
🧠 Conversational Intelligence: Uses LLMs (e.g., GPT, Gemini, LLaMA, etc.) for contextual and memory-based conversation.
🔊 Text-to-Speech (TTS): Responds naturally with human-like voice using tools like ElevenLabs, gTTS, or Coqui TTS.
🗣️ Real-Time Interaction: Supports streaming input and output for natural back-and-forth conversation.
🧩 Extensible Architecture: Modular design — plug in different STT, LLM, or TTS providers.
🌐 Multi-Platform: Works on desktop, web, or embedded systems (e.g., Raspberry Pi).
🧱 Architecture [User Voice] ↓ [Speech-to-Text Engine] ↓ [Conversational Model (LLM)] ↓ [Text-to-Speech Engine] ↓ [Spoken Response]
Each layer can be configured independently to use different backends.
🛠️ Tech Stack
Component Technology Speech-to-Text OpenAI Whisper / Google Speech / Vosk LLM Backend GPT-4 / GPT-3.5 / Llama / Claude Text-to-Speech ElevenLabs / gTTS / Azure Speech Framework Python / Node.js Optional UI React + Tailwind / Streamlit Deployment Docker / FastAPI / Flask
⚙️ Setup & Installation
1️⃣ Clone Repository git clone
cd voice-conversational-agent
2️⃣ Install Dependencies pip install -r requirements.txt
npm install
3️⃣ Set Environment Variables
Create a .env file and add:
OPENAI_API_KEY=your_key_here ELEVENLABS_API_KEY=your_key_here
4️⃣ Run the Application python app.py
npm run dev
Then open the interface (if available) or start speaking through your mic!