Voice commands get lost in the noise.

Your product has to hear a short command over a busy room. We clean the voice with AI speech denoising before keyword spotting, and help you build it in.

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A busy café counter with customers

From a noisy order to a recognised command

A café is loud and keywords are short. Denoising cleans the voice first, so keyword spotting hears the words, not the room.

Our keyword spotting naming each order over café chatter (sound simulated)
  1. Your system: Sound

    A spoken command in a busy room.

  2. Your system: Microphone

    The microphone in your product.

  3. Our solution: Speech denoising

    Removes the noise around the voice.

  4. Our solution: Keyword spotting

    Recognises the words you choose.

  5. Your system: Coffee machine

    Starts the drink that was ordered.

Where keyword spotting sits: between your microphone and your coffee machine.

Commands, not chatter

We tune it to your words and your setting, then check each detection against what was really said in the recording.

What it catches

Your keywords
The words your product needs, such as drink names.
Different voices
High and low, fast and slow.
Short commands
A single word, said once.
Busy moments
Commands spoken over a full room.
Your microphone
The microphone in your product.

What it ignores

Silence
Pauses and empty rooms.
Other words
Speech that isn't one of your keywords.
Machine noise
Grinders and fans.
Steam
Milk frothing and steam wands.
Clatter
Cups, cutlery and doors.

Where it's built in

Your product gets the keyword it heard, as it's spoken.

  • Two espresso shots pouring

    Coffee machines

    Drink orders spoken at the machine.

  • Vending machines lit at night

    Vending machines

    Hands-free choices at self-service machines.

  • A kitchen with a hob and a range hood

    Kitchen appliances

    Voice control while hands are busy.

Interested in this solution?

Get in touch with our engineering team to evaluate it for your system.

Request a demo

Evaluation platform. Firmware and software are under development; each use case requires application-specific validation.

More on denoising

See how we clean up speech for calls.