Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise

JASA Express Lett. 2023 May 1;3(5):055202. doi: 10.1121/10.0017934.

Abstract

Spectral weights in octave-frequency bands from 0.25 to 4 kHz were estimated for speech-in-noise recognition using two sentence materials (i.e., the IEEE and AzBio sentences). The masking noise was either unmodulated or sinusoidally amplitude-modulated at 8 Hz. The estimated spectral weights did not vary significantly across two test sessions and were similar for the two sentence materials. Amplitude-modulating the masker increased the weight at 2 kHz and decreased the weight at 0.25 kHz, which may support an upward shift in spectral weights for temporally fluctuating maskers.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Language
  • Noise
  • Perceptual Masking*
  • Recognition, Psychology
  • Speech Perception*