Multilingual Voice Assistance as a Building Block

Voice assistance has long been more than a nice living-room feature. Used correctly, it becomes a real tool: it explains, supports, translates, learns over time – and works wherever hands, eyes, or time aren’t available.

A new generation of multilingual, dialog-capable voice assistants demonstrates just how flexible and practical this technology already is today – from everyday private use to industrial applications.

Using a Raspberry Pi and ElevenLabs Conversational AI, it’s possible to build a voice assistant that runs fully hands-free, can be individually configured, and communicates in multiple languages – in real time.

Astradis Elektronik does not view such voice-assistant solutions as an isolated demo, but as an example of how compact platforms can support real work, learning, and service processes – structured, scalable, and ready for practical use.

Where Multilingual Voice Assistance Creates Real Value
In industry, service, and professional environments

• Service & maintenance:Technicians can ask directly at the machine about error codes, inspection steps, or recommended actions – without searching through documents.
• International teams: One assistant, multiple languages – ideal for mixed workforces or global sites.
• Training & onboarding: Step-by-step instructions via dialogue, adapted to experience level and language.
• Hands-free operation: Especially relevant where gloves, tools, or movement make traditional interfaces difficult to use.

In private everyday life

• Learning languages as part of daily life: Short dialogues in between, pronunciation practice, spontaneous questions – no app, no screen.
• Accessibility & inclusion:Retrieve information, have content read aloud, or get tasks explained – by voice, anytime.
• Personal assistant: Voice reminders or quick knowledge checks: “Remind me tomorrow at 9 about the meeting” or “What does term X mean?”

The real strength isn’t just “speaking” – it’s understanding, asking follow-up questions, and using context: true conversation.

Practical Example: Voice Assistance Directly on the Production Line
An employee is standing at a machine.

They say: “Hey Eleven, what does error 37 mean?”
The assistant responds immediately, explains possible causes, and asks targeted follow-up questions about additional symptoms. If desired, it also summarizes the situation in English – for a remote service technician or for documentation.

No display. No keyboard. No interruption of workflow.
Just a natural dialogue between people and systems.

Technology as an Enabler – Deliberately Kept Simple
The solution combines compact hardware with powerful voice AI.

Required components (example setup):

• Raspberry Pi (e.g., Raspberry Pi 5)
• Microphone and speaker (e.g., combined in a Bluetooth device)
• Internet connection
• An ElevenLabs account with API access

Core implementation principles:

• Activation via a freely definable hotword
• Local audio capture on the Raspberry PiHow Astradis Elektronik Supports Developers and Companies
• Processing and voice output via ElevenLabs Conversational AI
• Multilingual capability and voice character configured centrally

Result: a flexible, adaptable voice assistant that can be tailored to a wide range of requirements – from prototype to near-production application.