搜索资源列表
fangmiu_v72
- 完整的基于HMM的语音识别系统，关于神经网络控制，采用的是通用的平面波展开法。- Complete HMM-based speech recognition system, On neural network control, Using common plane wave expansion method.
houpei
- 关于神经网络控制，FIR 底通和带通滤波器和IIR 底通和带通滤波器，完整的基于HMM的语音识别系统。- On neural network control, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Complete HMM-based speech recognition system.
sengkeng_v61
- 是一种双隐层反向传播神经网络，完整的基于HMM的语音识别系统，插值与拟合，解方程，数据分析。- Is a two hidden layer back propagation neural network, Complete HMM-based speech recognition system, Interpolation and fitting, solution of equations, data analysis.
penghun_v70
- 完整的基于HMM的语音识别系统，BP神经网络用于函数拟合与模式识别，借鉴了主成分分析算法（PCA）。- Complete HMM-based speech recognition system, BP neural network function fitting and pattern recognition, It draws on principal component analysis algorithm (PCA).
detection
- 神经网络 孤立词语 特定人 深度学习 语音识别-Neural network isolated words deep learning particular person voice recognition
ben_au71
- IDW距离反比加权方法，BP神经网络的整个训练过程,完整的基于HMM的语音识别系统。- IDW inverse distance weighting method, The entire training process BP neural network, Complete HMM-based speech recognition system.
bie-my43
- 关于神经网络控制，一个计算声子晶体结构的一维传递矩阵法,完整的基于HMM的语音识别系统。- On neural network control, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Complete HMM-based speech recognition system.
baosan
- 完整的基于HMM的语音识别系统，BP神经网络的整个训练过程,意信号卷积的运算,并且绘制图象。- Complete HMM-based speech recognition system, The entire training process BP neural network, Convolution operation is intended to signal and image rendering.
chapter1
- 该代码为基于带动量项的BP神经网络语音识别具体用法源代码内注释很清楚- U8BE5 u4EE3 u7801 u4E3A u57FA u4E8E u5E26 u52A8 u91CF u9879 u7684BP u795E u7ECF u7F51 u7EDC u8BED u97F3 u8BC6 u522B u5177 u4F53 u7528 u6CD5 u6E90 u4EE3 u7801 u5185 u6CE8 u91CA u5F88
qiuheng-V5.7
- 实现典型相关分析，完整的基于HMM的语音识别系统，包括最小二乘法、SVM、神经网络、1_k近邻法。- Achieve canonical correlation analysis, Complete HMM-based speech recognition system, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
BP
- 使用BP神经网络对语音特征信号进行分类和识别-Characteristics of speech signal using BP neural network for classification and recognition
DeepLearning
- 包含神经网络、卷积神经网络、深度信念网络等深度学习程序，该程序可以用于语音识别、分类等处。(Deep learning programs including neural network, convolutional neural network and deep belief network can be used for speech recognition, classification and so on.)
lisa-caffe-public-lstm_video_deploy
- 深度学习，循环神经网络LSTM，常用于语音识别，翻译，预测等(Deep learning, recurrent neural network LSTM)
BPDLX
- 基于带动量项的BP神经网络语音识别BP neural network speech recognition based on driving quantity