利用Bark尺度频段划分实现人工耳蜗的频谱最大声处理

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI:10.1109/IEMBS.2001.1020648

Han Xianhua, Nie Kaibao

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引用次数: 3

摘要

为了提高人工耳蜗的识别性能，提出了一种基于Bark尺度的频带分割方法。利用物理学原理，它是基于人类耳蜗的过滤特性。介绍了人工耳蜗的工作原理及其最大声谱处理(SMSP)策略。考虑了人耳蜗的时频分析特性。给出了树皮尺度频带的理论确定公式。详细讨论了基于Bark尺度变换信号处理的仿真结果，结果表明该方法在人工耳蜗语音处理器中是可行的。

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Implementation of spectral maxima sound processing for cochlear implants by using Bark scale frequency band partition

A new method based on Bark scale frequency-band partition is presented to improve the recognition performance of cochlear implants. Using the principles of physics, it is based on the human cochlea filtering properties. Also the mechanism of a cochlear implant and its spectral maxima sound processing (SMSP) strategy are presented. The time-frequency analyzing property of the human cochlea is considered. The theoretical determination of the Bark scale frequency-band is also given with a formula. Simulation results using Bark scale transform signal processing are discussed in detail and the results show that the new method is feasible in speech processors for cochlear implants.

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2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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