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Area of Science:

  • Audiology
  • Signal Processing
  • Hearing Aid Technology

Background:

  • Modern hearing aids (HAs) utilize wide dynamic range compression (WDRC) and noise reduction (NR) algorithms.
  • The nonlinear effects of WDRC and NR on output signal-to-noise ratio (SNR) are known but not fully understood.
  • The relative contributions of WDRC and NR to these nonlinear effects require further investigation.

Purpose of the Study:

  • To determine whether WDRC or NR algorithms exert a greater influence on nonlinear effects in digital hearing aids.
  • To assess if the electroacoustic effectiveness of NR is modulated by WDRC parameters under varying input SNR and noise conditions.

Main Methods:

  • Connected Speech Test sentences in multitalker babble noise were used across a range of input SNRs (-10 to +10 dB).
  • Hearing aids were programmed with National Acoustic Laboratories for Nonlinear HA fitting formula 2 (NL2) prescriptive fits, with NR enabled or disabled.
  • Output SNR was measured using a phase-inversion technique; Hearing Aid Speech Intelligibility Index (HASpI) and Hearing Aid Speech Quality Index (HASpQI) were calculated.

Main Results:

  • WDRC was found to dominate nonlinear effects at low input SNRs; the combined nonlinear effect decreased at high input SNRs.
  • The effectiveness of NR was influenced by WDRC compression parameters.
  • HASpI and HASpQI trends partially explained NR effectiveness, suggesting these metrics capture factors beyond output SNR.

Conclusions:

  • Individual signal-processing stages within hearing aids should not be analyzed in isolation.
  • Electroacoustic evaluations of WDRC and NR algorithms independently are insufficient to understand their combined nonlinear impact.