Interactive Evolutionary Computation-Based Hearing Aid Fitting
Interactive Evolutionary Computation-Based Hearing Aid Fitting
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DOI：
10.1109/tevc.2006.883465
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发表时间：
2007-06
影响因子：
14.3
通讯作者：
H. Takagi;M. Ohsaki
中科院分区：
文献类型：
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作者：
H. Takagi;M. Ohsaki
提出了一种交互式进化计算（EC）拟合方法，将交互式EC应用于助听器拟合，并使用助听器模拟器与人类受试者评估该方法。该方法的优点在于，它可以基于用户如何听到来优化助听器，并且它实现了无论何时+无论何时（W3）的适配。传统的验配方法基于用户部分测量的听觉特征、验配工程师的经验以及用户对其听力的语言解释。因此，这些常规方法存在一个根本问题，即没有人能够体验到另一个人的听觉。然而，由于交互式EC验配使用EC来基于用户对他或她的听力的评估来优化助听器，因此解决了该问题。此外，而传统的拟合方法必须使用纯音和带通噪声测量听力特性，我们提出的方法没有这样的限制。评估所提出的方法使用语音源，我们证明，它显示出显着更好的结果比传统的方法或未处理的情况下，在语音清晰度和语音质量。我们还评估我们的方法使用音乐源，无法用传统的方法进行评估，并证明其音质优于未经处理的情况下
An interactive evolutionary computation (EC) fitting method is proposed that applies interactive EC to hearing aid fitting and the method is evaluated using a hearing aid simulator with human subjects. The advantages of the method are that it can optimize a hearing aid based on how a user hears and that it realizes whatever+whenever+wherever (W3) fitting. Conventional fitting methods are based on the user's partially measured auditory characteristics, the fitting engineer's experience, and the user's linguistic explanation of his or her hearing. These conventional methods, therefore, suffer from the fundamental problem that no one can experience another person's hearing. However, as interactive EC fitting uses EC to optimize a hearing aid based on the user's evaluation of his or her hearing, this problem is addressed. Moreover, whereas conventional fitting methods must use pure tones and bandpass noise for measuring hearing characteristics, our proposed method has no such restrictions. Evaluating the proposed method using speech sources, we demonstrate that it shows significantly better results than either the conventional method or the unprocessed case in terms of both speech intelligibility and speech quality. We also evaluate our method using musical sources, unusable for evaluation by conventional methods, and demonstrate that its sound quality is preferable to the unprocessed case