Design and Fabrication of Neural Networks for Signal Processing Recognition

在之前的工作中，P.I.开发并测试了一个详细的 语音信息如何在处理的定量模型 哺乳动物的耳蜗 他研究了这些信息， 处理，分配有语音声音，如人类所识别的。 在这个项目中，P.I.将继续应用各种学习 算法来处理人类的语音，以证明价值 在语音识别应用中的这种处理。 创新 利用速度数据的真级数性质的学习算法 将被探索，沿着更多的临床生物学动机 学习规则。

In prior work, the P.I. has developed and tested a detailed quantitative model of how speech information is processed in the cochlea of mammals. He has studied how this information, after processing, is allocated with speech sounds, as recognized by humans. In this project, the P.I. will go on to apply various learning algorithms to processed human speech, so as to demonstrate the value of this processing in speech recognition applications. Innovative learning algorithms exploiting the true series nature of speed data will be explored, along with more clinical biologically-motivated learning rules.