Development of a real time sparse non-negative matrix factorization module for cochlear implants by using xPC target.
Development of a real time sparse non-negative matrix factorization module for cochlear implants by using xPC target.
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DOI：
10.3390/s131013861
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发表时间：
2013-10-14
期刊：
影响因子：
--
通讯作者：
Bleeck S
中科院分区：
文献类型：
--
作者：
Hu H;Krasoulis A;Lutman M;Bleeck S
人工耳蜗（CIS）需要高效的语音处理，以最大限度地向大脑传输信息，特别是在噪声中。我们在之前的研究中提出了一种新的CI处理策略，将稀疏约束非负矩阵分解（NMF）应用于包络矩阵，以提高CI在噪声环境中的性能。这表明，为了适应声学条件和个体特征，算法需要自适应，而不是固定的。在这里，我们探索了一个系统的好处，该系统允许用户根据他们的个人听力需求和个人听力能力实时调整信号处理。在这个基于MATLAB®、SIMULINK®和xPC Target™环境的系统中，输入/输出（I/O）板连接在SIMULINK模块和CI刺激系统之间，这样就可以以硬件在环（HIL）仿真的方式成功地控制输出，从而提供了一种方便的方法来实现实时信号处理模块，而不需要任何低级语言。在正常听力受试者的实验和噪声语音编码仿真中，对算法的稀疏度约束参数进行了在线主观调整。结果表明，被试根据自己的可理解性偏好选择不同的参数值，表明自适应实时算法有利于充分挖掘主观偏好。我们的结论是，自适应实时系统有利于实验设计，这样的系统允许人们进行高生态效度的心理物理实验。
Cochlear implants (CIS) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix factorization (NMF) was applied to the envelope matrix in order to improve the CI performance in noisy environments. It showed that the algorithm needs to be adaptive, rather than fixed, in order to adjust to acoustical conditions and individual characteristics. Here, we explore the benefit of a system that allows the user to adjust the signal processing in real time according to their individual listening needs and their individual hearing capabilities. In this system, which is based on MATLAB®, SIMULINK® and the xPC Target™ environment, the input/outupt (I/O) boards are interfaced between the SIMULINK blocks and the CI stimulation system, such that the output can be controlled successfully in the manner of a hardware-in-the-loop (HIL) simulation, hence offering a convenient way to implement a real time signal processing module that does not require any low level language. The sparsity constrained parameter of the algorithm was adapted online subjectively during an experiment with normal-hearing subjects and noise vocoded speech simulation. Results show that subjects chose different parameter values according to their own intelligibility preferences, indicating that adaptive real time algorithms are beneficial to fully explore subjective preferences. We conclude that the adaptive real time systems are beneficial for the experimental design, and such systems allow one to conduct psychophysical experiments with high ecological validity.
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影响因子：
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作者：
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DOI：
10.1109/tasl.2011.2159711
发表时间：
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