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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteA DIY smart speaker is private only when every stage of its voice path stays under your control. The microphone, wake-word detector, speech-to-text engine, intent processor, text-to-speech engine, integrations, and logs can each send or retain data independently. The strongest practical design is an ESPHome audio satellite that sends audio over an encrypted local connection to a Home Assistant host, where local speech recognition, Assist processing, and local speech output run without cloud processing. You must still inspect each enabled integration and provide a real microphone cutoff if you need certainty that the hardware cannot capture sound.
Home Assistant describes the fully local arrangement this way: “Your spoken commands never leave your home: a microphone hears you, a local speech-to-text engine turns your voice into text, Home Assistant figures out what you want, and a local text-to-speech engine speaks the answer back.” That statement applies to a deliberately configured local pipeline, not automatically to every Home Assistant installation.
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What “private” means for a DIY smart speaker
Do not judge privacy by whether the enclosure is homemade or whether Home Assistant is installed locally. Judge the complete data path:
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- Microphone capture: Establish when raw audio is buffered and when it is streamed.
- Speech-to-text (STT): Determine whether audio is transcribed on your host or uploaded to a service.
- Intent and conversation processing: Check whether Home Assistant Assist handles the text locally or an external account, large language model, or other integration receives it.
- Text-to-speech (TTS): Confirm where the response voice is generated.
- Retention: Review logs, recordings, diagnostics, backups, and integration-specific histories.
Home Assistant says it runs on your own hardware, stores data locally, and can communicate directly with supported devices on the local network. Cloud services remain optional functions that you enable. A local host therefore establishes a useful privacy boundary, but an enabled cloud STT engine, cloud TTS engine, linked account, or remote conversation integration can still move voice data outside your home.
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Design the local voice pipeline before buying parts
Write down the intended path before wiring a microphone. For the documented ESPHome voice flow, the satellite captures microphone audio and streams it to Home Assistant for Assist processing; a configured speaker on the satellite plays the response. In that arrangement, the ESP device is an audio endpoint and the Home Assistant host does the demanding recognition and conversation work.
| Pipeline stage | Privacy question | Local choice to verify |
|---|---|---|
| Wake word | What event starts streaming, and where is the detector running? | ESPHome wake-word configuration and listening-state automations |
| Audio transport | Can another device read or inject the stream? | Encrypted ESPHome native API on a trusted network |
| Speech-to-text | Does raw audio leave the home? | Home Assistant Speech-to-Phrase or Whisper running on the local host |
| Intent handling | Does text go to an account or external model? | Local Assist conversation processing; audit every enabled integration |
| Speech output | Is the spoken answer generated locally? | Local Piper text-to-speech |
| Retention | Are transcripts, audio, or diagnostics stored? | Inspect Home Assistant logs, history, backups, and integration settings |
Test the actual assembled system rather than trusting a product label. A single cloud-based component changes the boundary even if all other components are local. Also check language support: local engines do not offer identical language coverage, and recognition quality varies with language, microphone, room acoustics, and host hardware.
Use Home Assistant’s local speech engines
Speech-to-Phrase for fast, focused control
Speech-to-Phrase is a close-ended model intended for a subset of Assist commands, especially predefined home-control actions. Home Assistant’s setup guide reports that it can transcribe in under one second on Home Assistant Green or a Raspberry Pi 4. That is a documentation example, not a guarantee for every language, model, or installation. Its constrained command coverage is the trade-off for low resource use and predictable response time.
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Whisper for open-ended transcription
Whisper attempts to transcribe open-ended speech and is more suitable when you need broader dictation or conversation. It requires substantially more processing. The same Home Assistant guide gives an example of around eight seconds to process an incoming voice command on a Raspberry Pi 4 and under one second on an Intel NUC. Those figures are vendor guidance rather than independent benchmarks; your model, language, storage, thermal conditions, and concurrent workloads can change the result.
| Criterion | Speech-to-Phrase | Whisper |
|---|---|---|
| Typical purpose | Predefined home-control commands | Open-ended speech transcription |
| Coverage | Subset of Assist commands | Broader language input, subject to model and language support |
| Documented example latency | Under one second on Home Assistant Green or Raspberry Pi 4 | Around eight seconds on Raspberry Pi 4; under one second on an Intel NUC |
| Compute demand | Lower | Higher |
| Best fit | Quick lights, climate, and media control | Powerful hosts and uses beyond basic home control |
In Home Assistant, install and select the local STT and TTS integrations from the voice-assistant configuration area, then assign the chosen pipeline to Assist. Select Piper for local TTS. The exact labels and available languages can change with software releases, so confirm the current interface and language list on the host you are configuring. Do not assume that installing a local engine makes every other assistant integration local.
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Configure the ESPHome satellite as a protected endpoint
ESPHome’s voice-assistant component exposes microphone input, wake-word options, listening-state events, and an output speaker. Audio and voice components consume significant RAM and CPU, and ESPHome warns that combining too many components can contribute to crashes. Keep the satellite firmware focused, and test stability with the exact microphone, speaker, display, sensors, and wake-word features you plan to ship.
- Provision a separate device identity. Give each satellite a distinct hostname and credentials. Do not reuse one secret across multiple boards.
- Enable native API encryption. Generate a unique encryption key for that device and configure it in ESPHome and Home Assistant. Without API encryption, anyone who reaches the local network may be able to read sensor data and control entities exposed by the device.
- Protect or remove the web server. If you enable ESPHome’s web server for diagnostics, set a strong, unique password. Disable it after commissioning if you do not need browser access. ESPHome notes that the web server lacks CSRF protection by design, so authentication and a trusted, segmented network are important defenses.
- Encrypt OTA updates. ESPHome says OTA images contain Wi-Fi credentials and the API encryption key. Unencrypted transfer can expose those secrets and permit malicious firmware uploads. Turn on OTA encryption before using wireless updates.
- Keep secrets out of version control. Store API keys, Wi-Fi passwords, and web-server credentials in ESPHome’s supported secret mechanism rather than committing them to a public or shared configuration repository.
- Define wake and listening behavior. Review when the wake word is active, what event starts streaming, and which automations run when listening begins or ends. Do not assume a particular wake-word mode is enabled by default on every build.
- Validate audio resources. Watch memory and CPU during wake-word detection, streaming, playback, and OTA. Remove nonessential components if the board resets or drops audio.
Use the encrypted native API as the normal Home Assistant connection. Treat a browser-accessible device web server as an administrative exception, not as a required part of voice operation.
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Add a physical microphone cutoff
Software mute changes behavior; a power cutoff changes what the microphone can electrically do. If household members need a visible, verifiable guarantee, choose a board or circuit with a trustworthy physical disconnect for the microphone supply or signal path, and make the state obvious from across the room.
Home Assistant’s Voice Preview Edition documents a switch that physically cuts power to its microphones. That is a property of that product, not a universal feature of DIY boards. In a custom build, verify the schematic and test the cutoff with a multimeter or by observing that the microphone disappears from the device when the switch is engaged. A status LED should indicate mute, but an LED alone is not proof of an electrical disconnect.
A physical cutoff does not necessarily disable a separate auxiliary microphone, line-in circuit, or another board in the enclosure. Inventory every audio input and test each one independently.
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Put the satellite on a sensible network
Start with a trusted local network shared by the satellite and Home Assistant; this is the simplest arrangement for most households. Advanced users may isolate IoT devices on a separate VLAN, but ESPHome notes that mDNS discovery does not cross VLANs. You may need explicit DNS, routing, firewall rules, and fixed addresses, and you must allow only the traffic required between the satellite and Home Assistant. Segmentation is not a plug-and-play privacy upgrade if it prevents secure provisioning or discovery.
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- Restrict administrative access to the Home Assistant host and satellite web interfaces.
- Do not expose the ESPHome web server or Home Assistant administration directly to the internet.
- Review router client lists for unknown devices and remove retired satellites.
- Update Home Assistant, ESPHome, and device firmware, then recheck security settings after major component changes.
Network encryption protects traffic in transit; it does not make an unencrypted API safe after an attacker has already joined the LAN. Device-level API encryption remains necessary.
Verify that commands stay local
Perform a repeatable privacy check after initial setup and after every integration change.
- List every voice pipeline. In Home Assistant, record the wake-word, STT, conversation, and TTS engine selected for each pipeline.
- Inspect linked accounts. Identify cloud assistants, external LLMs, remote automation services, and media integrations that receive transcripts, intents, or responses.
- Test with internet access removed. Temporarily block the host’s internet access while keeping the LAN available. Issue a basic local command. A successful response demonstrates that this particular path can operate without internet; it does not prove that other pipelines or integrations are local.
- Observe the satellite. Confirm that audio starts only after the configured wake event, that listening indicators match reality, and that the physical mute prevents microphone capture.
- Review logs and storage. Check Home Assistant logs, voice-history features, backups, and diagnostic settings for retained transcripts or audio. Set retention deliberately.
- Check network connections. Use your router’s client and connection views to identify unexpected destinations from the host or satellite. A firewall log can help, but encrypted traffic may not reveal its content.
- Repeat after updates. Integration defaults, supported languages, and UI labels can change. Reconfirm the selected engines and permissions after software upgrades.
For a stronger test, create a temporary test command that should work only through the local Assist pipeline, then disable one component at a time. This isolates whether a cloud integration is being used as a fallback.
Choose the host and satellite around your priorities
| Build choice | Privacy boundary | Performance and coverage | Work you must do |
|---|---|---|---|
| Raspberry Pi 4 host with local Speech-to-Phrase | Local STT, Assist, and Piper can keep processing at home when no cloud integration is enabled | Home Assistant documents under-one-second Speech-to-Phrase transcription as an example | Verify language support, cooling, storage, encrypted satellite API, and retention |
| Raspberry Pi 4 host with local Whisper | Same local boundary if the complete pipeline is local | Home Assistant documents around eight seconds for Whisper processing as an example | Accept slower responses or use a more powerful host; test your language and model |
| Intel NUC-class host with local Whisper | Local when all engines and integrations are local | Home Assistant documents under one second for Whisper on an Intel NUC as an example | Budget for a larger host and maintain its operating system and storage |
| DIY ESPHome satellite | Audio travels to your local host over the configured network | Flexible microphone, speaker, wake-word, and enclosure choices | Prove audio compatibility, physical mute behavior, API security, OTA encryption, and firmware stability |
| Ready-made satellite with documented microphone power switch | Can provide a clear physical mute boundary, while processing choices still need review | Less hardware integration work | Confirm local/cloud options, firmware behavior, and what the switch actually disconnects |
Use “Raspberry Pi 4 for Home Assistant voice assistant” as a hardware-search description rather than assuming every Pi configuration will deliver the same latency. The host’s processor, cooling, storage, language model, and simultaneous automations matter more than the product name alone.
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Common failure modes and fixes
The command works only when the internet is available
Check STT, conversation, TTS, and any fallback pipeline separately. Replace cloud engines with local Speech-to-Phrase or Whisper and Piper, then disable external account integrations that receive the text. If a particular device command still fails offline, that device’s integration may itself require a cloud service.
The satellite appears in Home Assistant but audio is exposed
Regenerate and assign a unique native API encryption key, update both sides, and remove stale device credentials. Review router membership and disable the ESPHome web server unless it is needed. API encryption protects the connection; it does not replace Wi-Fi security.
Whisper is too slow
Measure the actual processing time on your host and language. Use Speech-to-Phrase for the subset of home-control commands that it supports, move Whisper to a more capable host, or accept that open-ended transcription has a higher compute cost. Do not treat the documented Pi 4 and Intel NUC figures as a promise for your build.
The board resets during voice use
Reduce ESPHome audio and voice features, check available RAM and CPU, and remove unrelated sensors, displays, or effects. Confirm stable power and retest wake-word detection, streaming, and playback independently before combining them.
Wake-word behavior is surprising
Inspect the configured wake-word, listening events, and automations. Verify whether audio is buffered locally, when streaming begins, and what ends the listening session. Add a visible status indicator and use the physical cutoff when you need a guaranteed pause.
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VLAN isolation breaks discovery
mDNS does not cross VLANs according to ESPHome’s guidance. Place the satellite and Home Assistant on the same trusted network for the simplest setup, or build explicit DNS and firewall rules and provide the required routes. Document those exceptions so a future router change does not silently broaden access.
A practical privacy baseline
- Local STT, local Assist processing, and local Piper TTS selected for the active pipeline.
- No linked cloud account or external model unless its data path is understood and accepted.
- Wake-word and listening events reviewed rather than left at assumed defaults.
- Physical microphone power cutoff tested on every audio input where household privacy requires it.
- Unique encrypted native API key per ESPHome device.
- Authenticated or disabled ESPHome web server.
- Encrypted OTA updates and secrets excluded from version control.
- Trusted Wi-Fi, controlled administration, and deliberate network segmentation only when you can maintain the required routing and discovery.
- Post-update verification of engines, integrations, logs, and retention.
Frequently Asked Questions
Can Home Assistant Assist work without the cloud?
Yes, when you select local speech-to-text such as Speech-to-Phrase or Whisper, local Assist processing, and local Piper text-to-speech, and avoid integrations that send voice data or transcripts to external services. Confirm each pipeline component and test it with internet access blocked.
How do I stop a DIY smart speaker from listening?
Use the configured wake-word and listening controls for normal operation, and add a physical microphone power cutoff if you need an electrical guarantee. Verify that every microphone and auxiliary audio input is disconnected when mute is engaged.
Is a local Home Assistant installation automatically private?
No. Home Assistant stores its core data locally, but optional cloud services, linked accounts, external conversation engines, and cloud device integrations can create separate outbound data paths.
Should I choose Speech-to-Phrase or Whisper?
Choose Speech-to-Phrase for fast, predefined home-control commands and lower host requirements. Choose Whisper when you need open-ended transcription and can provide more processing capacity; measure latency on your own hardware and language.
Quick Recap
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