Neural Networks

Zero Latency DNN

Zero Latency Signal Processing (ZLSP™)
for Deep Neural Networks

Immediate audio for clear, natural, low-latency speech enhancement.

ZLSP™: AI Power With Immediate Response

Deep neural networks (DNNs) have transformed speech enhancement. They can separate voice from noise in incredibly complex, real-world environments, and make speech clearer, more natural, and less tiring to listen to.

But many AI audio solutions introduce a hidden side effect: DELAY.

Even tens of milliseconds can feel “wrong,” especially when the sound in your ears no longer matches what your eyes see or what you physically sense.

Alango’s Zero Latency Signal Processing (ZLSP™) solves this by combining the benefits of deep neural networks with an ultra-responsive signal path, so users experience all the clarity of AI; without perceivable lag.

Why Latency Matters for AI-Enhanced Sound

In many audio products, even a small delay between sound and perception can be distracting or unacceptable. ZLSP ensures that AI-processed sound remains aligned with the user’s natural sensory feedback.

Examples include:

Any noticeable delay between direct sound entering the ear and processed sound from the device can create comb-filtering and listening discomfort.

For podcasters and creators, even slight latency makes their own voice return late in monitoring, causing distraction, breaking speech rhythm, and creating an unnatural speaking experience.

When live sound in the room and amplified sound are out of sync, speech becomes harder to follow and less natural.

Traditional AI noise reduction often requires complex analysis that introduces delay. ZLSP was developed specifically to keep the listener in sync with the physical world while still benefiting from powerful AI enhancement.

The Best of Both Worlds: ZLSP + Deep Neural Networks

Alango’s approach combines:

• An ultra-low-latency signal path for the sound the user hears immediately.

• A deep neural network (DNN) “intelligence” path that analyzes the signal and makes optimized decisions about noise reduction and dereverberation.

This delivers:

• Natural, synchronized listening – Sound feels immediate and tightly connected to lips, gestures, and surroundings.

• Powerful AI-driven noise reduction – Background noise is reduced, speech is clearer, and listening effort is reduced.

• Comfort and clarity over time – Users stay in noisy environments longer with less fatigue.

All while meeting the constraints of portable, battery-powered devices where processing efficiency is critical.

Where ZLSP + DNN Makes a Difference

ZLSP + DNN is especially valuable in latency-sensitive audio products, such as:

Hearing aids and OTC hearing devices
Clearer speech in noise and reverberant spaces without disruptive delays that undermine speech understanding.

True wireless earbuds, smart glasses, and hearables
Enhanced transparency and augmented-hearing modes where environmental sounds must remain aligned with motion and visual cues.

Wireless microphones
Podcasting, broadcasting, and creator environments where talent requires immediate, natural monitoring.

Sound reinforcement & assistive listening systems
Venues, classrooms, houses of worship, and public spaces where speech must stay clear and aligned with the talker.

In all these cases, ZLSP enables manufacturers to adopt modern AI speech enhancement without sacrificing immediacy or naturalness.

Proven Results Against Leading Solutions

In internal evaluations against leading premium devices from major hearing-aid manufacturers, Alango’s DNN denoisers have demonstrated:

• Strong noise reduction in everyday environments (restaurants, shopping centers, transportation, playgrounds, home, and more).

• Clearer, more intelligible speech and improved listening comfort.

• Performance optimized for real-world products—not only controlled lab demos.

ZLSP extends these benefits by allowing such AI performance without the typical delay associated with high-resolution neural-network processing.