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Improving Speech Recognition in Bilateral Cochlear Implant Users by Listening With the Better Ear

机译:通过听更好的耳朵来改善双边人工耳蜗植入用户的语音识别

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摘要

For patients with bilateral cochlear implants (BiCIs), understanding a target talker in a noisy situation can be difficult. Current efforts for improving speech-in-noise understanding have focused on improving signal-to-noise ratio by using multiple microphones or signal processing, with only moderate improvements in speech understanding performance. However, BiCI users typically report having a better ear for listening which can lead to an asymmetry in speech unmasking performance. This work proposes a novel listening strategy for improving speech-in-noise understanding by combining (a) a priori knowledge of a better ear and having a BiCI user selectively attend to a target talker in that ear with (b) signal processing that delivers the target talker to the better ear and the noisy background to the opposite ear. This strategy is different from traditional noise reduction strategies because it maintains situational awareness (background sounds are delivered to the ear contralateral to the better ear) while improving speech understanding. Speech recognition performance was evaluated with and without the better ear strategy in a speech-in-noise listening test using a virtual auditory space created from individualized head-related transfer functions. Listeners showed an average improvement of 4.4 dB signal-to-noise ratio in their speech reception threshold when using the better ear strategy with no listener showing a decrement in performance. This implies that the strategy has the potential to boost speech-in-noise recognition in BiCI users and may be useful in other hearing assistance devices such as hearing aids.
机译:对于双侧人工耳蜗(BiCIs)的患者,在嘈杂的情况下了解目标说话者可能很困难。当前用于改善对噪声的理解的努力集中在通过使用多个麦克风或信号处理来提高信噪比,而仅对语音理解性能进行了适度的改进。但是,BiCI用户通常报告说有更好的聆听能力,这可能导致语音掩盖性能不对称。这项工作提出了一种新颖的听觉策略,通过结合(a)更好的耳朵先验知识和让BiCI用户有选择地参加该耳朵中的目标讲话者以及(b)传递噪声的信号处理来改善对语音的理解。将说话者对准耳朵更好的地方,将嘈杂的背景对准另一只耳朵。此策略与传统的降噪策略不同,因为它可以保持情景意识(背景声音传递到与更好的耳朵相对的耳朵),同时可以提高语音理解能力。使用从个性化头部相关的传递函数创建的虚拟听觉空间,在有声和无声的听力测试中评估有无耳策略时的语音识别性能。当使用更好的耳朵策略时,听众表现出语音接收阈值的信噪比平均提高4.4 dB,而没有听众表现出性能下降。这意味着该策略有可能增强BiCI用户的噪声中语音识别能力,并且在其他助听设备(如助听器)中可能很有用。

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