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Comparing the effects of reverberation and of noise on speech recognition in simulated electric-acoustic listening

机译:比较混响和噪声对模拟电声听力中语音识别的影响

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摘要

Cochlear implant users report difficulty understanding speech in both noisy and reverberant environments. Electric-acoustic stimulation (EAS) is known to improve speech intelligibility in noise. However, little is known about the potential benefits of EAS in reverberation, or about how such benefits relate to those observed in noise. The present study used EAS simulations to examine these questions. Sentences were convolved with impulse responses from a model of a room whose estimated reverberation times were varied from 0 to 1 sec. These reverberated stimuli were then vocoded to simulate electric stimulation, or presented as a combination of vocoder plus low-pass filtered speech to simulate EAS. Monaural sentence recognition scores were measured in two conditions: reverberated speech and speech in a reverberated noise. The long-term spectrum and amplitude modulations of the noise were equated to the reverberant energy, allowing a comparison of the effects of the interferer (speech vs noise). Results indicate that, at least in simulation, (1) EAS provides significant benefit in reverberation; (2) the benefits of EAS in reverberation may be underestimated by those in a comparable noise; and (3) the EAS benefit in reverberation likely arises from partially preserved cues in this background accessible via the low-frequency acoustic component.
机译:人工耳蜗使用者报告在嘈杂和混响环境中难以理解语音。众所周知,电声刺激(EAS)可以改善语音中的语音清晰度。但是,对于EAS在混响中的潜在好处,或这些好处与在噪声中观察到的好处之间的关系知之甚少。本研究使用EAS仿真来检查这些问题。句子与房间模型的冲激响应卷积在一起,该房间的估计混响时间在0到1秒之间变化。然后,对这些混响的刺激进行声码模拟以模拟电刺激,或将其作为声码器加低通滤波语音的组合来模拟EAS。在两种情况下测量单声道句子识别分数:回响语音和回响噪声语音。噪声的长期频谱和幅度调制等同于混响能量,从而可以比较干扰源的影响(语音与噪声)。结果表明,至少在仿真中,(1)EAS在混响方面具有明显优势; (2)EAS在混响中的优势可能会被可比噪声中的人们低估; (3)EAS混响的好处可能是由于在背景中可以通过低频声学分量访问的线索得以部分保留。

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