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Speech recognition in noise for cochlear implantees with a two-microphone monaural adaptive noise reduction system.

机译:带有两个麦克风的单耳自适应降噪系统的人工耳蜗噪声中的语音识别。

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OBJECTIVE: In this study the performance of a noise reduction strategy applied to cochlear implants is evaluated. The noise reduction strategy is based on a 2-channel adaptive filtering strategy using two microphones in a single behind-the-ear hearing aid. DESIGN: Four adult LAURA cochlear implant users (Peeters et al., 1993) took part in the experiments. The tests included identification of monosyllabic CVC (consonant-vowel-consonant) words and measurements of the speech reception threshold (SRT) of lists of numbers, in background noise presented at 90 degrees relative to the 0 degrees frontal direction of the speech. Percent correct phoneme scores for the CVC words at signal to noise ratios (SNRs) of -5, 0, and +5 dB in steady speech-weighted noise at 60 dB SPL and SRTs for numbers in speech-weighted steady and nonsteady ICRA noise were both obtained in conditions with and without the noise reduction pre-processing. Physical SNR improvements of the noise reduction system are evaluated as well, as a function of the direction of the noise source. RESULTS: Highly significant improvements in speech understanding, corresponding on average to an SNR improvement of about 10 dB, were observed with this 2-channel adaptive filtering noise reduction strategy using both types of speech-noise test materials. These perceptual evaluations agree with physical evaluations and simulations of this noise reduction strategy. Taken together, these data demonstrate that cochlear implantees may increase their speech intelligibility in noisy environments with the use of multimicrophone noise reduction systems.
机译:目的:在这项研究中,评估了应用于人工耳蜗的降噪策略的性能。降噪策略基于在单个耳后助听器中使用两个麦克风的2通道自适应滤波策略。设计:四个成人LAURA人工耳蜗使用者(Peeters等,1993)参加了实验。测试包括识别单音节CVC(辅音-元音-辅音)单词和数字列表的语音接收阈值(SRT)的测量,背景噪声相对于语音0度的正面方向呈90度。在60 dB SPL的稳定语音加权噪声和SRT的信噪比(SNR)为-5、0和+5 dB的情况下,CVC单词的正确音素得分的百分比为:两者都是在有和没有降噪预处理的条件下获得的。还根据噪声源的方向评估了降噪系统的物理SNR改善。结果:使用两种类型的语音噪声测试材料的这种2通道自适应滤波降噪策略,在语音理解方面均实现了显着改善,平均相当于将SNR提升了约10 dB。这些感知评估与这种降噪策略的物理评估和模拟相吻合。综上所述,这些数据表明,通过使用多麦克风降噪系统,人工耳蜗植入者可以在嘈杂的环境中提高语音清晰度。

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