远程麦克风是否仍然优于预处理算法?成人核受体的一组研究

Francesco Lazzerini, Luca Baldassari, Adriana Angileri, Luca Bruschini, Stefano Berrettini, Francesca Forli
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引用次数: 0

摘要

尽管助听器和人工耳蜗不断发展,但据报道,嘈杂的环境仍然是听力损失患者的一个重要障碍,特别是在语音识别过程中。预处理算法的发展和与无线设备的配对可以缓解这种情况,但哪种方法更有效仍在审查中。本研究的目的是比较人工耳蜗植入者在嘈杂环境中使用预处理自动算法和使用无线麦克风进行语音识别的好处。29名参与者被选中,年龄在14岁到83岁之间,患有感音神经性听力损失,接受人工耳蜗植入至少6个月。专有的Cochlear Limited SCAN技术使用预处理算法来衰减各种噪声;无线设备MiniMic2使用2.4 GHz连接,方便接收端和信号源之间的通信。参与者被要求重复自适应意大利语矩阵句子测试随机生成的20个句子,首先使用SCAN技术,然后使用无线MiniMic2。信号和噪声都是通过一个离受试者1米远的扬声器发出的。与SCAN技术相比,无线MiniMic2在噪声语音识别方面取得了明显更好的结果。
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Does the Remote Microphone Still Outperform the Pre-Processing Algorithms? A Group Study in Adult Nucleus Recipients
Despite the evolution of hearing aids and cochlear implants, noisy environments are reportedly still an important hurdle for persons with hearing loss, especially in the process of speech recognition. The development of pre-processing algorithms and the pairing with a wireless device can bring relief to this situation, but it is still under scrutiny whether one or the other is more effective. The purpose of this study was to compare the benefits of speech recognition in a noisy environment by recipients of cochlear implants when using the pre-processing automatic algorithms or when using a wireless microphone. Twenty-nine participants were selected, aged 14 to 83, suffering from sensorineural hearing loss and recipients of cochlear implants for at least 6 months. The proprietary Cochlear Limited SCAN technology uses pre-processing algorithms to attenuate various noises; the wireless device MiniMic2 uses a 2.4 GHz connection to facilitate communications between the recipient and the signal source. Participants were asked to repeat 20 sentences randomly generated by the adaptive Italian Matrix Sentence Test, first while using the SCAN technology and then with the wireless MiniMic2. Both signal and noise were administered through a single loudspeaker set 1 m away from the subject. Significantly better results in speech recognition of noise were achieved with the wireless MiniMic2 when compared to the SCAN technology.
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