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Related Concept Videos

Design Example01:23

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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
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Updated: Mar 14, 2026

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Smartphone-Based System for Learning and Inferring Hearing Aid Settings.

Gabriel Aldaz1, Sunil Puria2, Larry J Leifer1

  • 1Department of Mechanical Engineering, Center for Design Research, Stanford University, Stanford, CA.

Journal of the American Academy of Audiology
|October 9, 2016
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Summary

Smartphone-based hearing systems allow users to train their hearing aids, leading to preferred settings. This technology empowers individuals with hearing loss to personalize their devices for better sound experiences.

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Area of Science:

  • Audiology and Hearing Science
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Hearing aid wearers can personalize device settings.
  • Smartphones offer enhanced computing power for greater hearing aid customization.
  • A prototype system was developed to explore smartphone-based hearing aid training.

Purpose of the Study:

  • To develop a smartphone-based hearing system capable of learning user preferences.
  • To determine if users prefer settings trained via smartphone over default settings.

Main Methods:

  • An experimental within-participants study involving 16 adults with mild-to-moderate hearing loss.
  • Participants used a prototype system for six weeks, training settings via a smartphone app (HALIC).
  • The study involved a four-week training phase and a two-week blinded validation phase comparing trained vs. untrained settings.

Main Results:

  • 15 participants with valid data significantly preferred the trained hearing aid settings over the untrained settings.
  • Individual preferences varied significantly, highlighting the need for personalized hearing aid adjustments.
  • Most participants reported positive feelings of clarity and competence when using the training system.

Conclusions:

  • Smartphones show potential as effective tools for training hearing aid devices.
  • Tech-savvy individuals with mild hearing loss may benefit most from smartphone-based hearing aid training.
  • Personalized hearing aid settings achieved through smartphone training can enhance user experience.