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Combining directional microphone and single-channel noise reduction algorithms: A clinical evaluation in difficult listening conditions with cochlear implant users

机译:结合定向麦克风和单通道降噪算法:人工耳蜗使用者在困难聆听条件下的临床评估

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Objectives: This study tested a combination of algorithms designed to improve cochlear implant performance in noise. A noise reduction (NR) algorithm, based on signal to noise ratio estimation was evaluated in combination with several directional microphone algorithms available in the Cochlear? CP810 sound processor. Design: Fourteen adult unilateral cochlear implant users participated in the study. Evaluation was conducted using word recognition in quiet, sentence recognition in noise, and subjective feedback via questionnaire after a period of take-home use. Music appreciation was also evaluated in a controlled listening task. The sentence recognition task measured speech reception threshold for 50% morphemes correct. The interfering maskers were speech-weighted noise and competing talkers, which were spatially separated from the target speech. In addition, the locations of the noise maskers changed during the test in an effort to replicate relevant real-world listening conditions. SmartSound? directionality settings Standard, Zoom, and Beam? (used in the SmartSound programs Everyday, Noise, and Focus, respectively) were all evaluated with and without NR. Results: Microphone directionality demonstrated a consistent benefit in sentence recognition in all noise conditions tested. The group average speech reception threshold benefit over the Standard setting was 3.7 dB for Zoom and 5.3 dB for Beam. Addition of the NR algorithm further improved sentence recognition by 1.3 dB when the noise maskers were speech-weighted noise. There was an overall group preference for the NR algorithm in noisy environments. Group mean word recognition in quiet, preference in quiet conditions, and music appreciation were all unaffected by the NR algorithm. Conclusions: Multimicrophone directionality was effective in improving speech understanding in spatially separated noisy conditions. The single-channel NR algorithm further enhanced speech intelligibility in speech-weighted noise for cochlear implant users while maintaining equivalent performance in quiet situations and when listening to music.
机译:目的:本研究测试了旨在改善耳蜗植入物在噪声中的性能的算法组合。结合信噪比中的几种定向麦克风算法,评估了基于信噪比估计的降噪(NR)算法。 CP810声音处理器。设计:14名成人单侧人工耳蜗使用者参加了研究。在一段时间使用后,使用安静的单词识别,噪音的句子识别以及通过问卷的主观反馈进行评估。音乐欣赏还通过控制听觉任务进行了评估。句子识别任务测量了50%正确语素的语音接收阈值。干扰掩蔽者是语音加权噪声和竞争性谈话者,它们在空间上与目标语音分离。此外,在测试过程中,噪声掩蔽器的位置发生了变化,以复制真实的相关聆听条件。 SmartSound?方向性设置标准,缩放和光束? (分别在SmartSound程序的Everyday,Noise和Focus中使用)都评估了有无NR。结果:在所有测试的噪声条件下,麦克风的指向性都证明了其在句子识别方面的一致优势。与“标准”设置相比,组平均语音接收阈值收益对于“缩放”为3.7 dB,对于“波束”为5.3 dB。当噪声掩蔽器是语音加权噪声时,NR算法的添加使句子识别能力提高了1.3 dB。在嘈杂的环境中,NR算法总体上受到群体的偏爱。 NR算法不会影响安静时的小组平均单词识别,安静时的偏好和音乐欣赏。结论:在空间分离的嘈杂条件下,多麦克风指向性可以有效地提高语音理解能力。单声道NR算法为耳蜗植入用户进一步增强了语音加权噪声中的语音清晰度,同时在安静的情况下和听音乐时保持了等效的性能。

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