搜索资源列表
mpcc
- MFCC,即倒谱系数，也是语音的一个特征之一，能够充分利用人耳的特性 ％ 具体的求法就是预处理，然后加窗，进行傅立叶变换，再求出功率普 ％ 然后得出其自然对数，最后进行dct变换 ％ 代码是用matlab写的，用到的一个语音工具箱，可以从网络上下载。-MFCC, that is, just a few pedigree, as well as a voice of one, to take full advantage of people's ears% of the spe
Mybp539
- bp神经网络，实现bp神经网络的分类，用matlab语言编写-bp neural network, the realization of bp neural network classification, using matlab language
case1
- BP神经网络的数据分类-语音特征信号分类-BP Neural Network for Data Classification- Classification of speech feature signals
voice-feature-signal-classifiy
- 用matlab编写BP神经网络实现数据信号分类，本例为语音信号分类-BP neural network with matlab write data signal classification, classification of speech signal in this case
engvc
- 神经网络的 语音识别 初学者可以看看 希望对大家有帮助-Speech recognition neural network can look at beginners
ANN
- 关于人工神经网络算法在语音识别中应用的一系列文章-a series of articles about the artificial neural network algorithm applied in speech recognition
cxc
- 在源信号和传输信道未知情况下，只利用接收天线的观测数据抽取源信号，称为盲信号分离.盲信号分离不仅是信号处理界、而且也是神经网络界的研究热点课题，在无线数据通信、雷达、图像、语音、医学以及地震信号处理等领域都具有广阔的应用前景.采用自然梯度法和分阶段学习法。-The source signal and transmission channel is unknown circumstances, using only observational data extraction receiving a
speech-recognition
- 基于带动量项的BP神经网络语音识别，可作为练习的参考-speech recognition based on BP neural network
bp-dlx
- BP神经网络的数据分类。利用BP神经网络语音特征信号分类-BP neural network data classification. BP neural network speech features signal classification
BP_ANN
- Bp人工神经网络语音分类。 利用人工神经网络对输入语音信号进行翻译-Bp artificial neural network voice classification. Translation of the input speech signal using artificial neural networks
chapter1
- 语音特征信号分类，利用神经网络进行语音特征信号分类(Voice feature signal classification, the use of neural networks for voice feature signal classification)
案例1 BP神经网络的数据分类-语音特征信号分类
- 简单的bp神经网络，是一个语音信号的简单建模和处理，结构深度是3层(simple MATLAB code example for BP network)
BP神经网络的数据分类-语音特征信号分类
- BP神经网络的数据分类-语音特征信号分类(BP neural networks for data classification -- speech feature signal classification)
案例1 BP神经网络的数据分类-语音特征信号分类
- 通过BP算法，实现对语音特征信号的数据分类(Through the BP algorithm, the realization of the classification of speech signals)
BPDLX
- 基于matlab的bp神经网络学习算法用于数据的分类--主要针对语音信号进行分类。本案例中选举了民歌、古筝、摇滚和流行音乐四类不同类型，用bp神经网络实现对这四类音乐的有效分类(Based on matlab bp neural network learning algorithm for data classification - mainly for voice signal classification. In this case, four different types of folk
语音识别最新
- 用matlab仿真神经网络语音识别系统，里面用的是数字0-9作为训练模板，神经网络匹配模式(use the matlab to simulate word recognition system with neural network)
BPyuce
- 用BP神经网络分析预测语音与实际语音误差(Prediction of speech and actual speech errors by BP neural network)
一种神经网络的语音情感识别
- 一种在matlab平台上运行的语音情感识别方法基于神经网络，(Speech emotion recognition method neural network)
案例1 BP神经网络的数据分类-语音特征信号分类
- BP神经网络的数据分类-语音特征信号分类(Data classification of BP neural network speech feature signal classification.)
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