Real-Time Voice Chat with AI: Build a Local Voice Assistant

What You Will Build

A local voice assistant that:

1. Listens to your voice via microphone (Whisper for speech-to-text)
2. Processes your request with a local LLM (Ollama)
3. Speaks the response aloud (local TTS engine)

The entire loop runs on your hardware. No audio is sent to any server.

Components

• Whisper – OpenAI's speech recognition model, running locally
• Ollama – serves the language model for generating responses
• Piper TTS – lightweight text-to-speech for the spoken response

All three are available in the Thumper-Run catalog.

Installation

Install the Voice Chat app from the Thumper catalog. It bundles Whisper, Ollama, and Piper as dependencies. The install pipeline configures the audio pipeline and model downloads.

Hardware Requirements

• GPU: 6 GB+ VRAM for real-time Whisper + LLM
• CPU: Modern quad-core minimum for the TTS engine
• Microphone: Any USB or built-in mic (noise-canceling helps)
• See the VRAM guide for model-specific requirements

Latency Breakdown

On an RTX 4060 with Llama 3.1 8B:

• Speech-to-text (Whisper large-v3): 200–500 ms for a typical sentence
• LLM processing: 500–1500 ms for a short response
• Text-to-speech (Piper): 100–300 ms
• Total round-trip: 1–2.5 seconds

This is fast enough for conversational flow, though not quite as instant as cloud services with dedicated ASR hardware.

Customization

• Wake word: Configure a custom activation phrase so the assistant only listens when addressed
• Personality: Set a system prompt to give the assistant a specific persona or domain expertise
• Voice selection: Piper supports dozens of voices across languages. Choose one that matches your preference.
• Model swap: Upgrade the LLM for better responses or downgrade for faster latency

Use Cases

• Hands-free coding – dictate code changes while your hands are on the keyboard
• Accessibility – voice interface for users who prefer spoken interaction
• Smart home – run on a Raspberry Pi 5 or mini PC as a private Alexa alternative
• Language practice – converse with the AI in a foreign language with instant pronunciation feedback

Privacy

Cloud voice assistants (Alexa, Google, Siri) record and store your voice data. A local voice assistant processes audio in memory and discards it after transcription. Your voice never leaves your machine.

Conversation history uses the application's configured local storage. Review local disk protection and do not treat current sync as private E2EE.

Ready to try it? Download Thumper-Run free →