ArticleJASA express letters2023
Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise.
Article in JASA express letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Estimating band importance for environmental sound recognition using deep learninga).The Journal of the Acoustical Society of America · 2026Article
- Multispecies initial numerical validation of an efficient algorithm prototype for auditory brainstem response hearing threshold estimation.The Journal of the Acoustical Society of America · 2024Article
- Band importance for speech-in-speech recognition in the presence of extended high-frequency cues.The Journal of the Acoustical Society of America · 2024Article
- Toward parametric Bayesian adaptive procedures for multi-frequency categorical loudness scaling.The Journal of the Acoustical Society of America · 2024Article
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2 authors.
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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.
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