Home Assistant9 min read

Home Assistant Local Whisper & TTS: The Ultimate Privacy Voice Assistant

Set up Home Assistant with local Whisper speech recognition and local TTS to run a fully offline voice assistant without cloud dependencies.

Daniele Messi

· updated · Geneva

Italian version →
In this article 10
  1. Key Takeaways
  2. Why Go Local with Home Assistant Voice in 2026?
  3. Understanding Home Assistant Local Whisper & Local STT
  4. Setting Up Local TTS with Home Assistant Piper
  5. Hardware Considerations for Your Local Voice Assistant
  6. Step-by-Step: Integrating Home Assistant Local Whisper & Piper
  7. Enabling Wake Word Detection
  8. Conclusion
  9. Recommended Gear
  10. Related Articles

Key Takeaways

  • Home Assistant local Whisper provides private, offline speech-to-text (STT) capabilities, ensuring your voice commands never leave your network.
  • Integrating local Text-to-Speech (TTS) solutions like Piper enables a complete, low-latency, and privacy-focused voice assistant experience within Home Assistant.
  • The combination of local STT and TTS gives users full control over their smart home interactions, eliminating reliance on cloud services and improving data security.
  • Dedicated hardware, even low-power options like Raspberry Pi 5 or a mini PC, significantly improves performance for local AI processing in 2026.

In 2026, the demand for privacy-centric smart home solutions continues to surge. For Home Assistant enthusiasts, this means pushing the boundaries of local processing, especially when it comes to voice control. The ability to run an entirely offline voice assistant, from speech-to-text (STT) to text-to-speech (TTS), is no longer a dream but a practical reality. This article covers setting up Home Assistant local Whisper alongside local TTS, with a focus on privacy, speed, and reliability for your smart home.

Why Go Local with Home Assistant Voice in 2026?

The primary motivation for moving voice processing entirely local is privacy. Cloud-based voice assistants, while convenient, inherently send your voice data to external servers for processing. This raises legitimate concerns about data retention, potential misuse, and general surveillance. A privacy voice assistant built on Home Assistant eliminates these concerns by keeping all your interactions confined to your local network.

Beyond privacy, local processing offers significant performance advantages. Removing the internet latency associated with cloud services means snappier responses and a more fluid user experience. Imagine your lights turning on instantaneously after your command, without that frustrating half-second delay. Furthermore, local systems are resilient to internet outages, ensuring your smart home remains controllable even when your connection drops. This matters for any critical home automation, distinguishing a truly smart home from one that’s merely connected. For those interested in other local AI applications, exploring Unleashing Local AI with Home Assistant: Ollama Integration can provide further insights into keeping intelligence on-premises.

Understanding Home Assistant Local Whisper & Local STT

OpenAI’s Whisper model brought accurate local speech-to-text to consumer-grade hardware, with strong results across multiple languages. For Home Assistant local Whisper, this means transforming spoken commands into text directly on your server, without ever touching external cloud APIs. The latest iterations of Whisper models available in 2026 are highly optimized, allowing for efficient processing on devices like a Raspberry Pi 5 or a more powerful mini PC.

The integration of Whisper into Home Assistant’s voice assistant pipeline involves several components. First, a microphone captures your voice. This audio is then sent to a local Whisper instance, often running as a Home Assistant add-on or a separate container. The Whisper model processes the audio, converting it into a text string. This text is then passed to Home Assistant’s intent recognition engine, which understands your command and triggers the appropriate automation or device control. This entire local STT Home Assistant workflow ensures that your voice data remains private and secure.

Setting Up Local TTS with Home Assistant Piper

Once Home Assistant understands your command, it often needs to respond. This is where local Text-to-Speech (TTS) comes in. While several options exist, Piper has emerged as a leading choice for Home Assistant local TTS due to its high-quality voices, low latency, and efficient resource usage. Piper runs entirely locally, generating natural-sounding speech from text directly on your Home Assistant server.

Piper offers a variety of voices and languages, allowing you to customize your voice assistant’s personality. Its lightweight nature means it can run effectively even on less powerful hardware, complementing the local Whisper setup. Integrating Piper is straightforward, typically involving installing the Piper add-on or integration and configuring it within Home Assistant’s settings. This completes the local voice loop, from your spoken word to your smart home’s audible response, all without relying on external services.

Hardware Considerations for Your Local Voice Assistant

While Home Assistant itself can run on various hardware, dedicating resources to local AI processing will significantly enhance performance. For a reliable Home Assistant local Whisper and Piper experience in 2026, consider the following:

  • Raspberry Pi 5: A popular choice for its balance of cost and performance. With its improved CPU and increased RAM, it can handle smaller Whisper models and Piper efficiently. However, for larger Whisper models or more demanding local AI tasks (like Home Assistant Local AI Vision: Frigate Integration & Object Detection), you might experience higher latency.
  • Mini PC/NUC: These offer more powerful CPUs and typically more RAM, making them ideal for running larger Whisper models, multiple voice agents, or other concurrent local AI services. They provide the best performance for minimal latency.
  • Microphone Array: A good quality microphone matters. While USB microphones work, dedicated microphone arrays (like those from ReSpeaker or custom ESPHome devices) can offer better noise cancellation and far-field pickup. For DIY enthusiasts, ESPHome’s microphone component documentation provides excellent guidance for creating custom voice input devices.

On average, a well-configured mini PC can process a 5-second voice command with Whisper and generate a TTS response in under 300ms, a latency reduction of over 60% compared to typical cloud-based solutions in 2026. This tangible speed improvement directly translates to a more responsive and natural interaction.

Step-by-Step: Integrating Home Assistant Local Whisper & Piper

Let’s walk through a practical setup for your local voice assistant in Home Assistant. This assumes you have a working Home Assistant instance (preferably running on a dedicated server or a Proxmox LXC instance for optimal resource management).

1. Install the Assist Pipeline and Voice Assistant Integrations

Home Assistant’s Assist pipeline is the core framework for voice control. Ensure you have the necessary integrations installed.

Go to Settings > Devices & Services > Add Integration and search for Wyoming Protocol. This is the bridge that connects Home Assistant to local voice services like Whisper and Piper.

2. Install the Wyoming Whisper Add-on

In Home Assistant’s add-on store (available on Home Assistant OS and Supervised installations), search for Wyoming Whisper. Install it, then open its configuration:

language: en
model: small-int8

The small-int8 model is a good starting point. It runs well on a Raspberry Pi 5 and keeps latency low. If you have a mini PC with 8 GB or more of RAM, switch to medium-int8 for noticeably better accuracy, especially for room names or custom device names. After saving, start the add-on and check the log to confirm the model downloads and loads without error.

Once the add-on is running, go back to Settings > Devices & Services > Add Integration, search for Wyoming Protocol again, and point it to localhost port 10300 (the Whisper default).

3. Install the Wyoming Piper Add-on

Repeat the process for Wyoming Piper in the add-on store. Configure a voice that matches your preference:

voice: en_US-lessac-medium

Piper ships with dozens of voices across many languages. The lessac-medium voice strikes a balance between naturalness and CPU cost. Start the add-on, verify it in the log, then add another Wyoming Protocol integration pointing to localhost port 10200 (Piper’s default).

4. Build Your Assist Pipeline

With both services registered, navigate to Settings > Voice Assistants and click Add Assistant. Give it a name, then set:

  • Speech-to-text: Wyoming - Whisper
  • Text-to-speech: Wyoming - Piper
  • Conversation agent: Home Assistant (local intent recognition)

If you want a local large language model handling free-form questions, you can swap the conversation agent for an Ollama-backed model at this point. Save the pipeline.

5. Assign a Microphone and Test

If you are using a USB microphone plugged into your Home Assistant server, enable the Assist Microphone add-on and point it at your new pipeline in its configuration. For ESPHome-based devices or voice satellites in other rooms, flash the Wyoming Satellite firmware and configure each device to point at your server’s IP and the Wyoming Whisper and Piper ports.

Open the Home Assistant companion app or the web UI, navigate to the Assist button, select your new pipeline, and say a test command such as “Turn off the living room lights.” A mini PC will respond quickly enough that the interaction feels natural; a Raspberry Pi 5 will have slightly more noticeable processing time but remains fully usable for most commands.

Enabling Wake Word Detection

A voice assistant you have to tap to activate is only half useful. Home Assistant supports openWakeWord, a local wake word engine, through the Wyoming protocol.

Install the Wyoming openWakeWord add-on, start it, and add a Wyoming Protocol integration pointing to port 10400. Then open your voice assistant’s settings, enable the wake word option, and choose from the built-in phrases such as “Hey Jarvis” or “OK Nabu”. Custom wake words can be trained offline using the openWakeWord training scripts if none of the defaults fit your preference.

Always-on wake word detection does consume continuous CPU. Monitor your system load after enabling it and drop the Whisper model size down one tier if other automations slow noticeably.

Conclusion

Running Home Assistant with local Whisper and Piper gives you a complete, private voice assistant that works without an internet connection and without sending any audio to an external server. The setup requires patience the first time through, mostly around model selection and port configuration, but once running it is stable and consistent. Start with the small Whisper model and the lessac-medium Piper voice, then move to larger models if your hardware has the headroom. Adding openWakeWord turns the pipeline into a genuinely hands-free experience, with the meaningful difference that every word you speak stays on your own network.

If you want to build this setup, this is where I would start:

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The end. Thanks for reading.

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