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Fitting methodology and hearing prosthesis based on signal-to-noise ratio loss data

机译:基于信噪比损失数据的拟合方法和听力假体

摘要

An individual with a hearing loss often experiences at least two distinct problems: 1) the hearing loss itself i.e. an increase in hearing threshold level, and 2) a signal-to-noise ratio loss (SNR loss) i.e. a loss of ability to understand high level speech in noise as compared to normal hearing individuals. According to one aspect of the present invention, this problem is solved by selecting parameter values of a noise reduction algorithm or algorithms based on the individual user's SNR loss. Thereby, a degree of restoration/improvement of the SNR of noise-contaminated input signals of the hearing prosthesis has been made dependent on user specific loss data. According to another aspect of the present invention, a hearing prosthesis capable of controlling parameters of a noise reduction algorithms in dependence on the user's current listening environment as recognized and indicated by the environmental classifier has been provided.
机译:听力损失的人经常会遇到至少两个不同的问题:1)听力损失本身,即听力阈值水平的提高; 2)信噪比损失(SNR损失),即理解能力的丧失与正常听力的人相比,声音中的语音强度较高。根据本发明的一个方面,通过基于个体用户的SNR损失选择一个或多个降噪算法的参数值来解决该问题。从而,已经取决于用户特定的损失数据使听力假体的被噪声污染的输入信号的SNR的恢复/改善程度。根据本发明的另一方面,已经提供了一种听力假体,该听力假体能够根据由环境分类器识别和指示的用户当前的收听环境来控制降噪算法的参数。

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