Voice-pulse conversion method based on the response of the primary auditory cortex
Voice-pulse conversion method based on the response of the primary auditory cortex
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DOI：
10.1109/tencon.2011.6129308
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发表时间：
2011-11
期刊：
影响因子：
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通讯作者：
Yutaka Suzuki;O. Sakata;L. Qin;Yu Sato
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文献类型：
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作者：
Yutaka Suzuki;O. Sakata;L. Qin;Yu Sato
脑-机接口技术是一种有效的感觉功能补偿技术。为了帮助听觉障碍，我们已经开发了一个声音刺激信号转换接口的听觉BMI是基于初级听觉皮层（A1）细胞的反应。在A1神经元反应中，调幅（AM）声音被编码为强直反应的尖峰频率信息，调频（FM）声音被编码为大脑中活跃位置的顺序。在信号处理中，利用数字滤波器组对声音信号进行频带划分。然后将分离的信号转换为脉冲串信号以处理AM。以此方式，构建了基于A1神经元对AM和FM声音的响应的语音脉冲转换方法。此外，为了检验哪种频带划分方法适合于元音识别，我们得到了自组织映射来学习每个输出通道的脉冲数。结果表明，指数处理效果最好。在此条件下，共振峰信息被留下，元音的分类是可能的。
Brain machine interface (BMI) is one of useful techniques to compensate the deteriorated sensory functions. For the purpose of aid of auditory impediment, we have developed a sound-stimulus signal conversion interface for an auditory BMI that is based on the response of primary auditory cortex (A1) cells. In A1 neuron responses, amplitude-modulated (AM) sound is encoded as spike rate information of the tonic response, and frequency-modulated (FM) sound is encoded as the order of active place in the brain. In signal processing, the sound signals were divided into frequency bands by using a digital filter bank for FM sound. The separate signals were then converted to pulse train signals to deal with AM. In this manner, a voice-pulse conversion method that is based on A1 neuron response to AM and FM sound was constructed. Additionally, in order to examine which frequency band division method was suitable for vowel identification, we got the self-organizing map to learn the number of pulses for each output channel. The result showed that the exponential processing was best. Under the condition, the formant information is left behind and the classification of vowels is possible.