摘要
将量子神经网络(QNN)应用于语音增强技术中,并与基于径向基函数神经(RBF)网络的语音增强技术进行比较。实验结果表明,基于QNN上的语音增强技术效果比基于人工神经网络(ANN)中的RBF网络的语音增强技术效果好,消噪能力强,有更好的鲁棒性。另外,该技术还能够改善语音质量。
Quantum neural network (QNN) is used in speech enhancement, and compared with the speech enhancement technologies based on the Radial basis function (RBF) network. The simulation result indicates that the methods of speech enhancement based on QNN is more effective than methods based on one of the artificial neural network (ANN) -RBF network, and they have better capabilities of eliminating noise and robustness. Also, the algorithm presented can improve the quality of voice.
出处
《军民两用技术与产品》
2009年第1期42-44,共3页
Dual Use Technologies & Products
关键词
语音增强
量子神经网络
人工神经网络
径向基函数神经网络
Speech enhancement, Quantum neural network, Artificial neural network, Radial basis function network