Kardome’s Spatial Hearing AI Is Now Powering LG’s Flagship OLED TVs

The rollout represents a typical progression for embedded AI in consumer electronics: research partnership → product integration → large‑scale manufacturing deployment.

What Spatial Hearing AI Actually Does

Kardome’s system is designed to give devices a more human‑like ability to understand sound environments. Instead of processing all incoming audio as one blended signal, the technology builds a spatial map of the room’s acoustic scene.

That map allows the system to:

• Identify where sounds originate in physical space
• Separate different speakers into distinct audio streams
• Filter background noise
• Track moving speakers

This approach lets a TV isolate a specific person giving a command—rather than being confused by overlapping speech or environmental noise.

In practical terms, the TV can better understand requests even when:

• Several people are talking at once
• The television itself is playing loud audio
• The user is speaking from across the room

LG says the result is voice control that works in real-world, high‑noise living room conditions, where conventional voice assistants often struggle.

Why Multi‑Speaker Environments Break Traditional Voice Assistants

Most traditional voice interfaces rely on microphone beamforming and cloud speech recognition. These systems typically assume a single dominant speaker and relatively clean audio.

In households, that assumption rarely holds. Multiple voices, echoes from the TV, and general background noise can confuse the system, causing failed commands or incorrect responses.

Spatial Hearing AI tackles the issue by treating sounds as separate objects in a three‑dimensional audio scene, allowing the device to focus on a specific voice source instead of the entire sound mixture.

The improvement is especially useful for shared environments such as living rooms or cars, where several people may speak at the same time.

Why the Edge‑Based Design Matters

Another major design decision behind Kardome’s approach is on‑device (edge) processing.

Instead of sending all audio to the cloud for interpretation, the system performs much of its processing locally inside the device. This architecture has two practical advantages.

Lower latency:
Commands can be processed faster because the audio does not need to travel to remote servers before the device responds. This makes voice interactions feel more immediate.

Improved privacy:
Keeping more audio processing on the device reduces the amount of raw voice data that must be transmitted to cloud services, which can help limit exposure of sensitive speech data in always‑listening environments.

Edge‑based voice AI is becoming a broader industry trend as devices—from smart TVs to cars—require faster responses and stronger privacy guarantees.

Beyond TVs: Where the Technology May Expand Next

While televisions were the first commercial target, the companies positioned the partnership from the start as a broader smart‑device platform.

The 2025 announcement outlined plans to extend Spatial Hearing AI across several additional product categories, including:

• Smart home appliances
• Audio devices
• Automotive systems

The automotive use case is particularly relevant. Demonstrations have shown voice systems capable of identifying which passenger is speaking and responding appropriately—something traditional assistants struggle to handle when multiple occupants talk simultaneously.

The Bigger Trend: Devices That Understand Sound Context

Kardome’s rollout with LG highlights a broader shift in voice interfaces. Instead of simply recognizing words, next‑generation systems increasingly try to understand who is speaking, where they are, and what they mean within a noisy environment.

Spatial audio mapping, multi‑speaker separation, and on‑device AI processing are emerging as core technologies behind that shift.

For LG’s OLED TVs, the result is a television that can do something previous voice systems rarely managed well: reliably hear the right person in a crowded, noisy room.