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Related Concept Videos

Integration by Parts: Problem Solving01:29

Integration by Parts: Problem Solving

176
Smart speakers process voice commands by modeling audio inputs as piecewise functions and analyzing them through integration against trigonometric functions, such as cosine. This mathematical approach is fundamental in signal processing, where complex sound waves are decomposed into simpler frequency components.Consider a definite integral involving a piecewise function multiplied by a cosine function. Because the function is defined differently over separate intervals, the integral is split...
176

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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Relationship between multipulse integration and speech recognition with cochlear implants.

Ning Zhou1, Bryan E Pfingst2

  • 1Department of Communication Sciences and Disorders, East Carolina University, Greenville, North Carolina 27834.

The Journal of the Acoustical Society of America
|September 6, 2014
PubMed
Summary
This summary is machine-generated.

Multipulse integration, a non-invasive measure of cochlear health, predicts speech recognition in cochlear implant users. This finding offers a new way to assess neural function and improve hearing outcomes.

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Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Biophysics

Background:

  • Assessing cochlear health in cochlear implant (CI) users is challenging due to mixed results from previous studies comparing CI performance with postmortem cochlear conditions.
  • Limitations in prior research highlight the need for within-subject designs and non-invasive methods to evaluate the cochlea's condition.
  • Multipulse integration, a non-invasive correlate of cochlear health established in animal models, offers a promising avenue for human studies.

Purpose of the Study:

  • To investigate the relationship between neural health, estimated by multipulse integration, and speech recognition performance in human cochlear implant users.
  • To utilize a within-subject design to compare ear differences in multipulse integration slopes with speech recognition outcomes.
  • To determine if multipulse integration can predict speech recognition abilities and the perception of specific speech features.

Main Methods:

  • Derived multipulse-integration slopes from psychophysical detection thresholds at two pulse rates (80 and 640 pulses per second).
  • Employed a within-subject design with eight bilateral cochlear implant users.
  • Compared ear differences in integration slopes with speech reception thresholds for sentences and phoneme recognition in noise.

Main Results:

  • A significant correlation was found between the magnitude of ear differences in multipulse integration slopes and the magnitude of ear differences in speech reception thresholds.
  • The study also observed significant correlations with consonant recognition in noise and the transmission of place of articulation for consonants.
  • These findings indicate that multipulse integration is a reliable predictor of speech perception in noisy environments.

Conclusions:

  • Multipulse integration serves as a valuable non-invasive predictor of speech recognition in noise for cochlear implant users.
  • This measure is also indicative of the perception of speech features relying on dynamic spectral cues.
  • The results support the use of multipulse integration for assessing neural function and potentially guiding clinical interventions in cochlear implant recipients.