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

Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise.
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DOI:
10.1121/10.0017934
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发表时间:
2023-05-01
影响因子:
1
通讯作者:
Langley, Lauren
Langley, Lauren
中科院分区:
其他
文献类型:
--
作者:
Shen, Yi;Langley, Lauren

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使用两个句子材料(即,IEEE和AzBio语句)。掩蔽噪声是未调制的或以8 Hz正弦幅度调制的。估计的谱权重在两个测试会话中没有显著变化,并且对于两个句子材料是相似的。对掩蔽信号进行幅度调制增加了2kHz处的权重,并降低了0.25kHz处的权重,这可以支持时间波动掩蔽信号的频谱权重的向上偏移。
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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