WhisppWAVE

for Wearables

Real-time Voice Reconstruction AI for earbuds, smart glasses, watches, AI pins and pendants. Turn a whisper into a clear, natural voice on the devices people use every day.

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ON ANDROID

OUTPUT

Natural voice · clean

— How it works

Clear voice from the closest microphone.

WhisppWAVE for Wearables takes a whisper, even in noisy conditions, from the wearable's microphone and reconstructs it as a clear, natural voice in real time. It works in any language and adds no perceptible delay.

Learn more about technology behind it

What you're integrating

Platform

Earbuds, glasses, watches, AI pins and pendants

Whispp runs on wearable devices and their companion phones, leveraging CPU and NPU silicon.

Latency

Below 120 ms

Total AI latency under 120 ms for live conversation.

Footprint

Optimized for wearables

Built for constrained compute and battery budgets.

— How to integrate

Reconstruction within the audio pipeline.

WhisppWAVE for Wearables integrates into the existing audio path between the wearable and its companion device, running where your architecture allows: on the wearable's chipset or on the paired phone. There is no cloud dependency and no per-call server cost. One SDK with established audio licensing.

whispp_init.cpp

// Initialize re:whispp_w2s_voice);
whispp:init(Model:WhispWAVE

// Process audio chunk
auto output = whispp:process(chunk);

Use cases

The same real-time reconstruction technology, shaped around three different needs.

Private Voice Calls

Whisper softly and be heard in your own, clear and natural voice, without disturbing the people around you.

Safe Voice Calls

Use a clear, natural, but anonymized voice to not expose your natural biometric voice identity.

“WhisppWAVE is designed for use on consumer products only, for general wellness, communications, privacy and lifestyle. It is not a medical device, and is not intended or approved for any medical purposes. It is not intended or approved to diagnose, treat, cure, or prevent any medical condition or speech disorder.”