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From HiFi sound quality to AI, the experience of Samsung Galaxy Buds3 series has been greatly upgraded

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Release: 2024-08-27 15:30:34
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From ancient vinyl records, album tapes and CDs that were popular in the millennium, to today’s streaming media platforms on mobile devices, with the development of the times, the carriers for listening to music are also constantly changing. With the support of advanced technology, people's pursuit of immersive experience continues to advance, and many novel technical means have been developed as a result. Among them, the new generation of TWS headphones represented by the Samsung Galaxy Buds3 series has found new breakthroughs in the AI ​​track.

 从 HiFi 音质到 AI,三星 Galaxy Buds3 系列体验大升级

High-fidelity sound quality HiFi for pleasant listening enjoyment

As a new product focusing on sound quality experience, there are two new products in the Samsung Galaxy Buds3 series:

1. Equipped with 24bit/96kHz codec technology, which can be used when connected to a Galaxy smartphone Delivers studio-like high-quality audio.

2. Compared with traditional 16bit/44.1kHz sound quality, the 24bit/96kHz sound effect brought by Samsung Seamless Codec (SSC) can present richer sound details and reduce information loss during audio transmission. Pay attention to restoring the unique timbre of each note, bringing a high-fidelity audio quality experience.

 从 HiFi 音质到 AI,三星 Galaxy Buds3 系列体验大升级

In addition, the Samsung Galaxy Buds3 series further enhances sound quality performance through benchmark speaker and amplifier design.
  1. Samsung Galaxy Buds3: Adopting an open design, equipped with a new 11mm speaker and a 1.5 times enhanced amplifier diaphragm, the volume is greatly increased, making the sound from boring to dynamic.
  2. Samsung Galaxy Buds3 Pro: Equipped with enhanced two-way speakers equipped with a flat tweeter and dual power amplifiers, which can achieve refined and accurate high dynamic range sound effects and deliver crystal-clear sound enjoyment.

AI empowers immersive noise reduction experience

In addition to enhanced sound quality performance, the Samsung Galaxy Buds3 series, powered by Galaxy AI, brings more personalized and intelligent active noise reduction through in-depth optimization based on machine learning And sound performance: With the support of adaptive EQ and adaptive ANC, the microphone of the headset will analyze the sound inside and outside the ear in real time to more intelligently optimize the sound quality and noise reduction effect.

 从 HiFi 音质到 AI,三星 Galaxy Buds3 系列体验大升级

1. Using Galaxy AI, Samsung Galaxy Buds3 Pro can quickly identify and suppress irrelevant noise.
  1. Then the listening experience is optimized by re-adjusting the balance between ANC and ambient sound modes to suit your surroundings.
  2. It is worth noting that Samsung Galaxy Buds3 Pro also supports advanced functions such as adaptive noise control, alarm detection and voice detection, which can be specially optimized according to the noise reduction needs of different scenarios.

     从 HiFi 音质到 AI,三星 Galaxy Buds3 系列体验大升级

    When the adaptive noise control mode is turned on, Samsung Galaxy Buds3 Pro will automatically identify and reduce external interference such as traffic noise, creating a harmonious and balanced hearing effect. When chatting with friends, the voice detection of Samsung Galaxy Buds3 Pro will automatically switch between active noise reduction and ambient sound modes, ensuring smooth communication without taking off the headphones. When going out alone, the alarm monitoring of Samsung Galaxy Buds3 Pro will intelligently identify alarms and sirens to warn users to stay away from potential dangers on the road.

Summary:

While the sound quality of the Galaxy Buds3 series has been greatly improved, the AI-powered noise reduction and sound effects experience further enhances daily performance. As the mobile audio and video experience is being upgraded, the Samsung Galaxy Buds3 series can bring a better experience to users, and can also achieve a new experience of personalized audio through machine learning.

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source:myzaker.com
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