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

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...

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Detalles Bibliográficos
Autores principales: Shen, Yi, Langley, Lauren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Acoustical Society of America 2023
Materias:
Speech Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155216/
https://www.ncbi.nlm.nih.gov/pubmed/37125871
http://dx.doi.org/10.1121/10.0017934
Descripción
Sumario: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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