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AI Call Noise Cancellation Explained — soundcore Clear Calls

11/07/2026
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0 min read

What Is AI Call Noise Cancellation? soundcore Clear Calls

It’s match night, and the pub is packed. Fans are glued to the screen, every pass and near miss drawing reactions from every corner of the room. Then your phone rings. You step outside to take the call, but the noise follows you — cheers spilling onto the pavement, traffic rolling past and conversations carrying through the crowd. Before long, the person on the other end is asking, “Sorry, could you repeat that?” It’s a familiar frustration whenever background noise overwhelms your voice. You may already know Active Noise Cancellation (ANC) as a way to reduce distractions while listening to music, but AI call noise cancellation serves a different purpose: it helps ensure that the microphone captures your voice, not the atmosphere around you. This article explores how the technology works and how it helps turn frustrating “Could you say that again?” moments into conversations people can actually follow.

What Is Call Noise Cancellation, and Why Does It Matter?

Call noise cancellation improves the audio you transmit during a phone call. Your earbud microphones still pick up both your voice and the sounds around you, but call noise cancellation processes that microphone signal so that the person on the other end hears more of what you’re saying and less of the background noise — whether that’s chatter in a busy pub, the hum of air conditioning or a gust of wind on a crowded street. It’s a microphone-side feature, meaning it changes how others hear you rather than how you hear your surroundings. That sets it apart from active noise cancellation (ANC), which is designed to reduce external noise for the listener while enjoying music or taking a call.

The difference becomes clear in everyday situations:

  • Working from home: Building work next door finds its way into an important client call.
  • On the journey home: Train announcements, platform noise and busy crowds can easily compete with your voice.
  • Out and about on match day: Wind, traffic and the buzz of the crowd can make it harder for your words to come through clearly.

In each case, effective call noise cancellation helps conversations flow more naturally, with fewer interruptions and far fewer requests to repeat yourself.

How Traditional Call Noise Cancellation Works

 

Ever wondered why a call from a busy pub can still sound messy even when your earbuds claim to have noise cancellation? Traditional systems use multiple microphones and fixed signal processing. A primary microphone captures your voice, while one or more reference microphones capture the surrounding environment. The system compares these channels and steers sensitivity towards your mouth while reducing sounds from other directions. This technique is called beamforming, and it works well for predictable noise, but it has its limits.

Where it holds up

  • Steady, predictable background noise — the hum of air conditioning, distant traffic or a constant fan.

Where it falls short

  • Sudden noises — a door slam, a nearby shout or a clatter — hit all microphones at once, giving the system little time to react without cutting into your voice.
  • Unpredictable environments where noise changes quickly.

The core limitation is that traditional call noise cancellation follows fixed rules. It cannot learn or adapt. That is what AI changes.

How AI Improves Call Noise Cancellation 

The most noticeable result is simple: fewer “Could you say that again?” moments, even in genuinely noisy places.

AI adds a learnable processing layer on top of the microphone array and beamforming. A neural network recognises your voice, separates it from surrounding noise and classifies different types of noise in real time. Unlike traditional systems that follow fixed rules, it updates its processing based on what it hears, all with low latency and entirely on the device.

That means the system can tell wind apart from nearby voices, or mechanical keyboard taps from low-frequency traffic rumble, and apply more precise processing to each type of noise rather than reducing the entire signal. The result is a call where your natural tone, consonants and phrasing come through clearly, without the hollow or compressed sound that overly aggressive noise reduction can sometimes leave behind.

Infographic comparing traditional call noise cancellation and AI call noise cancellation

What Is soundcore’s AI Call Noise Cancellation Feature?

On compatible soundcore earbuds, AI call noise cancellation appears as Clear Calls—powered by ANKER Thus, which delivers 150× the computing power* of the chip used in our previous flagship earbuds. It is designed with call clarity as a priority rather than a secondary feature. Instead of relying on microphone pickup alone, the system uses on-chip processing and local AI models to analyse the call signal, separate speech from background noise and help keep your voice clear with low latency. The key point soundcore makes publicly is that Thus brings on-device audio AI to earbuds, allowing call clarity to be handled closer to the source rather than relying solely on phone-side processing.

  • Busy train platform:Public announcements and crowd noise can compete with your voice; Clear Calls is designed to help keep your speech clear and prominent.
  • Windy day: Broadband hiss can affect outdoor calls; the system can treat wind differently from indoor background noise.
  • Busy pub or café:Coffee machines, conversations and overlapping voices often occupy similar frequencies to speech; the system helps the person on the other end focus on your voice rather than the surrounding noise.

Why On-Device Processing Matters for Call Privacy

No cloud involvement means the call audio used for Clear Calls is not sent to a vendor server for off-device analysis. Processing stays on the earbuds, so sensitive work conversations—client names, numbers or HR matters—do not pass through an additional processing step you did not choose. For people working from home, where the dining table often doubles as the office, that small specification detail can matter: you still get a clear uplink without assuming a third party is part of the process.

soundcore Earbuds: AI Call Quality in Practice

soundcore earbuds with ANKER Thus™ are tuned for real-world calls, not just controlled test conditions. The focus remains AI call noise cancellation—the core capability that helps keep your speech easy to understand. The newly launched soundcore Liberty 5 Pro and soundcore Liberty 5 Pro Max feature this technology, and their flagship-grade hardware ensures AI call noise cancellation performs at its absolute best. Picture taking a call in a busy office corridor: the background noise is still there, but the person on the other end is more likely to hear you clearly, with steadier consonants and phrasing rather than a wash of background reverb. You also do not have to worry about battery life. soundcore still delivers the flagship true wireless essentials—long battery life for full working days and commuting, ANC for focus between calls, and comfort that makes extended wear easy. If battery life, noise cancellation and comfort are what draw you to a pair of earbuds, call quality is what can make them feel even more worthwhile.

Conclusion

AI call noise cancellation helps make “Could you say that again?” a much less frequent part of everyday calls. It keeps your voice in the foreground when cafés, busy stations and windy streets try to take over the conversation, helping callers hear you rather than the noise around you. Today, soundcore earbuds powered by ANKER Thus bring this technology to consumer audio, combining multi-microphone and sensor fusion with on-chip neural processing designed for real-world calls, so clarity comes from smarter processing rather than good fortune alone. Learn more about soundcore earbuds.

earbuds image

FAQs

Does AI call noise cancellation work both ways?

No. Call noise cancellation works on the microphone side; ANC works on the listening side. For a call to sound good both ways, each direction needs the right capability. On your end, that means a clear uplink, plus ANC or a quieter environment if you want extra help hearing. The other person’s microphone and surroundings still affect how clearly their voice reaches you.

How many microphones do I need for clear calls?

More microphones do not guarantee perfect calls, but they give the system more information to work with. Two microphones can compare your voice with surrounding noise for basic beamforming. Four microphones help the earbuds track your voice when traffic or chatter shifts around you. Eight microphones give the DSP a richer map of speech and noise. Bone-conduction sensors add vibration cues from your own voice, which can be useful when wind overwhelms air microphones. That is why soundcore earbuds use eight MEMS microphones and two bone-conduction sensors as a ten-sensor fusion system for AI call noise cancellation.

Is AI call noise cancellation the same as ANC?

No. AI call noise cancellation improves the voice you send during calls, so the other person hears you more clearly. ANC improves what you hear by reducing outside noise around you while you listen. One improves your microphone uplink; the other improves your listening experience. They often work together in premium earbuds, but they are not the same feature.

Does AI call noise cancellation work without internet? 

Yes. Clear Calls processes AI audio directly on the earbuds without requiring an internet connection or a cloud server. You can find full product details from our Anker Day event, which took place on 21 May 2026 in New York.

Will AI noise cancellation affect my voice quality? 

It can, depending on the system. A well-designed AI call noise cancellation system, such as one powered by the Thus chip, should reduce background noise while preserving the natural tone, consonants and rhythm of your voice. The goal is not to make you sound processed; it is to keep you intelligible. Lower-quality noise reduction can over-suppress the signal, making speech sound metallic, hollow, thin or “underwater”, particularly in windy conditions or during sudden bursts of noise.

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