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Measurement and Prediction of Binaural-Temporal Integration of Speech Reflections

机译:言语反射的时空整合的测量与预测

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For speech intelligibility in rooms, the temporal integration of speech reflections is typically modeled by separating the room impulse response (RIR) into an early (assumed beneficial for speech intelligibility) and a late part (assumed detrimental). This concept was challenged in this study by employing binaural RIRs with systematically varied interaural phase differences (IPDs) and amplitude of the direct sound and a variable number of reflections delayed by up to 200?ms. Speech recognition thresholds in stationary noise were measured in normal-hearing listeners for 86 conditions. The data showed that direct sound and one or several early speech reflections could be perfectly integrated when they had the same IPD. Early reflections with the same IPD as the noise (but not as the direct sound) could not be perfectly integrated with the direct sound. All conditions in which the dominant speech information was within the early RIR components could be well predicted by a binaural speech intelligibility model using classic early/late separation. In contrast, when amplitude or IPD favored late RIR components, listeners appeared to be capable of focusing on these components rather than on the precedent direct sound. This could not be modeled by an early/late separation window but required a temporal integration window that can be flexibly shifted along the RIR.
机译:对于房间中的语音清晰度,通常通过将房间脉冲响应(RIR)分为早期(假定对语音清晰度有利)和后期(假定有害)来建模语音反射的时间积分。在本研究中,通过使用双耳RIR挑战这一概念,该双耳RIR具有系统地变化的听觉间相位差(IPD)和直接声音的幅度,并且反射的可变数量最多延迟200毫秒。在正常听众中针对86种情况测量了固定噪音中的语音识别阈值。数据表明,当具有相同的IPD时,直接声音和一个或多个早期语音反射可以完美地集成在一起。具有与噪声相同的IPD的早期反射(但不具有直接声音的反射)无法与直接声音完美融合。通过使用经典的早期/晚期分离的双耳语音清晰度模型,可以很好地预测占主导地位的语音信息在早期RIR组件内的所有情况。相反,当振幅或IPD偏向后期RIR分量时,听众似乎能够专注于这些分量,而不是先前的直接声音。这不能通过早期/晚期分离窗口建模,但是需要可以沿RIR灵活移动的时间积分窗口。

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