Jin Su-Hyun, Nie Yingjiu, Nelson Peggy
The University of Texas at Austin, USA.
Am J Audiol. 2013 Jun;22(1):135-46. doi: 10.1044/1059-0889(2013/12-0049).
To examine the effects of temporal and spectral interference of masking noise on sentence recognition for listeners with cochlear implants (CI) and normal-hearing persons listening to vocoded signals that simulate signals processed through a CI (NH-Sim).
NH-Sim and CI listeners participated in the experiments using speech and noise that were processed by bandpass filters. Depending on the experimental condition, the spectra of the maskers relative to that of speech were set to be completely embedded with, partially overlapping, or completely separate from, the speech. The maskers were either steady or amplitude modulated and were presented at +10 dB signal-to-noise ratio.
NH-Sim listeners experienced progressively more masking as the masker became more spectrally overlapping with speech, whereas CI listeners experienced masking even when the masker was spectrally remote from the speech signal. Both the NH-Sim and CI listeners experienced significant modulation interference when noise was modulated at a syllabic rate (4 Hz), suggesting that listeners may experience both modulation interference and masking release. Thus, modulated noise has mixed and counteracting effects on speech perception.
When the NH-Sim and CI listeners with poor spectral resolution were tested using syllabic-like rates of modulated noise, they tended to integrate or confuse the noise with the speech, causing an increase in speech errors. Optional training programs might be useful for CI listeners who show more difficulty understanding speech in noise.
研究掩蔽噪声的时间和频谱干扰对人工耳蜗(CI)使用者以及聆听模拟人工耳蜗处理信号的正常听力者(NH-Sim)句子识别的影响。
NH-Sim和CI使用者参与了使用带通滤波器处理的语音和噪声的实验。根据实验条件,掩蔽器相对于语音的频谱设置为与语音完全嵌入、部分重叠或完全分离。掩蔽器要么是稳定的,要么是幅度调制的,并且以+10 dB的信噪比呈现。
随着掩蔽器与语音在频谱上的重叠程度增加,NH-Sim使用者受到的掩蔽逐渐增加,而即使掩蔽器在频谱上远离语音信号,CI使用者也会受到掩蔽。当噪声以音节速率(4 Hz)调制时,NH-Sim和CI使用者都经历了显著的调制干扰,这表明使用者可能同时经历调制干扰和掩蔽释放。因此,调制噪声对语音感知有混合和抵消的影响。
当使用类似音节速率的调制噪声对频谱分辨率较差的NH-Sim和CI使用者进行测试时,他们倾向于将噪声与语音整合或混淆,导致语音错误增加。对于在噪声环境中理解语音有更多困难的CI使用者,可选的训练程序可能会有所帮助。