Université de Lyon, Ecole Nationale des Travaux Publics de l'Etat, Laboratoire Génie Civil et Bâtiment, Rue M. Audin, 69518 Vaulx-en-Velin Cedex, France.
J Acoust Soc Am. 2013 Aug;134(2):1146-59. doi: 10.1121/1.4812248.
Four experiments investigated the effects on speech intelligibility of reverberation, sound source locations, and amplitude modulation of the interferers. Speech reception thresholds (SRTs) were measured using headphones and stimuli that simulated real-room listening, considering one or two interferers which were stationary or speech-modulated noises. In experiment 1, SRTs for modulated noises showed little variation with increasing interferer reverberation. Reverberation might have increased masking by filling in the modulated noise gaps, but simultaneously changed the noise spectra making them less effective maskers. In experiment 2, SRTs were lower when measured using a unique one-voice modulated interferer rather than a different interferer for each target sentence, suggesting that listeners could take advantage of the predictability of the interferer gaps. In experiment 3, increasing speech reverberation did not significantly affect the difference of SRTs measured with stationary and modulated noises, indicating that the ability to exploit noise modulations was still useful for temporally smeared speech. In experiment 4, spatial unmasking remained constant when applying modulations to the interferers, suggesting an independence of the abilities to exploit these modulations and the spatial separation of sources. Finally, a model predicting binaural intelligibility for modulated noises was developed and provided a good fit to the experimental data.
四个实验研究了混响、声源位置和干扰者调幅对语音可懂度的影响。使用耳机和模拟真实房间聆听的刺激物测量了语音接收阈值(SRT),考虑了一个或两个静止或语音调制噪声的干扰者。在实验 1 中,调制噪声的 SRT 随干扰者混响的增加变化不大。混响可能通过填补调制噪声间隙来增加掩蔽,但同时改变了噪声频谱,使它们成为不太有效的掩蔽器。在实验 2 中,当使用独特的单一声调调制干扰者进行测量时,SRT 较低,而不是为每个目标句子使用不同的干扰者,这表明听众可以利用干扰者间隙的可预测性。在实验 3 中,增加语音混响并没有显著影响使用静止和调制噪声测量的 SRT 差异,这表明利用噪声调制的能力对于时间弥散的语音仍然有用。在实验 4 中,当对干扰者施加调制时,空间掩蔽保持不变,这表明利用这些调制和源的空间分离的能力是独立的。最后,开发了一个预测调制噪声的双耳可懂度的模型,该模型很好地拟合了实验数据。