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(s):

Shen, Yi & Langley, Lauren. (2023). Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise. JASA express letters. 3. 10.1121/10.0017934.

Authors:

Yi Shen, Lauren Langley