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<\/p>\nFor anyone who relies on wireless earbuds on a daily basis, struggling to be heard on a phone call can be an all-too-familiar frustration. Whether you\u2019re navigating a busy street or just dealing with ambient chatter, background noise can make clear communication nearly impossible.<\/p>\n
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When developing the new Galaxy Buds4 Pro, Samsung focused heavily on completely reimagining how an earbud captures and transmits the human voice. Their first objective was to develop a brand-new Sensor Fusion technology \u2014 ensuring a user\u2019s speech can cut through the noise with absolute clarity.<\/p>\n
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What is Sensor Fusion and How Is it Important for Call Quality?<\/p>\n
When it comes to taking calls, an earbud\u2019s microphone is much farther from your mouth than a phone\u2019s, making your voice highly susceptible to being drowned out by ambient noise. For traditional earbuds relying on a single sensor, this physical limitation often means compromised call quality, especially when ambient noise is louder than the user\u2019s voice.<\/p>\n
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To overcome this, Samsung engineered an environment-aware sensor fusion system for Buds4 Pro. Instead of relying on one input, Samsung\u2019s technology intelligently combines multiple sensors to recognize and adapt to the surrounding environment.<\/p>\n
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Buds4 Pro is equipped with three microphones \u2014 two external microphones directly capture a user\u2019s voice, while a third internal microphone detects\u00a0speech transmitted within the body. A Voice Pickup Unit (VPU) sensor based on bone conduction also detects the head\u2019s physical vibrations when a user speaks.<\/p>\n
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A cutaway of Galaxy Buds4 Pro \u2014 three microphones and a VPU sensor work in harmony to precisely reconstruct voice data.<\/p>\n
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The voice data then activates a noise reduction algorithm that allows Buds4 Pro to precisely isolate and comprehensively reconstruct the user\u2019s voice from surrounding noise with pinpoint accuracy, ensuring clear communication even in the most chaotic environments.<\/p>\n
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How Sophisticated Is the Buds4 Pro\u2019s Noise Reduction Algorithm?<\/p>\n
An AI-based system called a Deep Neural Network (DNN) \u2014 modeled loosely on the structure of the human brain \u2014 serves as the core noise reduction technology within Buds4 Pro\u2019s sensor fusion architecture. Typically, software this powerful requires massive computing power that simply cannot fit inside a tiny earbud. However, Samsung meticulously optimized its algorithm for on-device processing, slashing the processing load to roughly 10% of the original computational requirements and shrinking the model size to just 30%, successfully bringing powerful AI voice processing to a compact earbud form factor.<\/p>\n
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But blocking noise isn\u2019t enough to guarantee true call clarity \u2014 the earbuds must also make sure your voice sounds natural. To do that, Buds4 Pro analyzes past, present and predictive sound data to instantly adapt to rapidly changing environments. Samsung also upgraded its algorithm to capture 16 times more vocal detail than previous models. Because of this massive boost in precision, every part of your speech \u2014 from high-pitched tones to sharp consonants and subtle word endings \u2014 remains crisp and easy to understand, no matter how loud your environment gets.<\/p>\n
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Buds4 Pro even accounts for natural body movements that can cause the earbuds to shift, causing \u2018fit leakages\u2019 that allow unwanted background noise to seep in. To counter this, Buds4 Pro continuously analyzes signals from the inner and outer microphones to estimate leakage in real time, dynamically adjusting the audio to keep the call crystal clear.<\/p>\n
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Furthermore, Buds4 Pro\u2019s superior DNN-powered voice clarity is truly maximized when paired with a Galaxy smartphone, harnessing a Super Wideband to deliver exceptionally rich and natural voice quality.<\/p>\n \u00a0<\/p>\n https:\/\/img.global.news.samsung.com\/ca\/wp-content\/uploads\/2026\/06\/noisy10.wav<\/a><\/p>\n \u00a0<\/p>\n Voice data output before Buds4 Pro\u2019s noise reduction algorithm is applied.<\/p>\n![\"\"](\"https:\/\/www.newsbeep.com\/ca\/wp-content\/uploads\/2026\/06\/minIn.png\")
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