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  2. Best Noise-Cancelling Earbuds: Here’s Where To Get ... - AOL

    www.aol.com/entertainment/best-noise-cancelling...

    While noise-cancelling headphones are great, noise-cancelling wireless earbuds may have the upper hand when it comes to being more compact and lightweight. If you consider yourself an active ...

  3. Hearables - Wikipedia

    en.wikipedia.org/wiki/Hearables

    Sensors, to track heart rate, cadence, or to detect proximity. Microphones, to take or make phone calls, or take voice commands. Most of the "Hearables" seen to date are Bluetooth devices that use phones or PCs as the central computing unit. Vinci smart headphones, announced in 2016, [5] incorporated a dual-core CPU, local storage, Wi-Fi, and ...

  4. Take 20% Off Raycon Earbuds, Headphones and Speakers ... - AOL

    www.aol.com/entertainment/20-off-raycon-earbuds...

    These Basic Earbuds. The Work Earbuds Classic. Raycon. For everyday wear that’s easy to take in and out, these buds are the perfect pick! See it! Get The Work Earbuds Classic (originally $120 ...

  5. Noise-cancelling headphones - Wikipedia

    en.wikipedia.org/wiki/Noise-cancelling_headphones

    Noise -cancelling headphones alongside a carry case. Noise-cancelling headphones are headphones which suppress unwanted ambient sounds using active noise control. This is distinct from passive headphones which, if they reduce ambient sounds at all, use techniques such as soundproofing . Noise cancellation makes it possible to listen to audio ...

  6. Dichotic listening - Wikipedia

    en.wikipedia.org/wiki/Dichotic_listening

    Dichotic listening is a psychological test commonly used to investigate selective attention and the lateralization of brain function within the auditory system. It is used within the fields of cognitive psychology and neuroscience . In a standard dichotic listening test, a participant is presented with two different auditory stimuli ...

  7. Music information retrieval - Wikipedia

    en.wikipedia.org/wiki/Music_information_retrieval

    Music information retrieval ( MIR) is the interdisciplinary science of retrieving information from music. Those involved in MIR may have a background in academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these.

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